Volume I
Action Rules Mining
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Zbigniew W. Ras, University of North Carolina, Charlotte, USA
Elzbieta Wyrzykowska, University of Information Technology & Management, Warsaw, Poland
Li-Shiang Tsay, North Carolina A&T State University, USA
Active Learning with Multiple Views
-
Ion Muslea, SRI International, USA
Adaptive Web Presence and Evolution through Web Log Analysis
-
Xueping Li, University of Tennessee,
Knoxville, USA
Aligning the Warehouse and the Web
-
Hadrian Peter, University of the West Indies, Barbados
Charles Greenidge, University of the West Indies, Barbados
Analytical Competition for Managing Customer Relations
-
Dan Zhu, Iowa State University, USA
Analytical Knowledge Warehousing for Business Intelligence
-
Chun-Che Huang, National Chi Nan University, Taiwan
Tzu-Liang (Bill) Tseng, The University of Texas at El Paso, USA
Anomaly Detection for Inferring Social Structure
-
Lisa Friedland, University of Massachusetts Amherst, USA
Application of Data-Mining to Recommender Systems, The
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J. Ben Schafer, University of Northern Iowa, USA
Applications of Kernel Methods
-
Gustavo Camps-Valls, Universitat de València, Spain
Manel Martínez-Ramón, Universidad Carlos III de Madrid, Spain
José Luis Rojo-Álvarez, Universidad Carlos III de Madrid, Spain
Architecture for Symbolic Object Warehouse
-
Sandra Elizabeth González Císaro, Universidad Nacional del Centro de la Pcia. de Buenos Aires, Argentina
Héctor Oscar Nigro, Universidad Nacional del Centro de la Pcia. de Buenos Aires, Argentina
Association Bundle Identification
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Wenxue Huang, Generation5 Mathematical Technologies, Inc., Canada
Milorad Krneta, Generation5 Mathematical Technologies, Inc., Canada
Limin Lin, Generation5 Mathematical Technologies, Inc., Canada & Mathematics and Statistics Department, York University, Toronto, Canada
Jianhong Wu, Mathematics and Statistics Department, York University, Toronto, Canada
Association Rule Hiding Methods
-
Vassilios S. Verykios, University of Thessaly, Greece
Association Rule Mining
-
Yew-Kwong Woon, Nanyang Technological University, Singapore
Wee-Keong Ng, Nanyang Technological University, Singapore
Ee-Peng Lim, Nanyang Technological University, Singapore
Association Rule Mining for the QSAR Problem, On
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Luminita Dumitriu, “Dunarea de Jos” University,
Romania
Cristina Segal, “Dunarea de Jos” University, Romania
Marian Craciun, “Dunarea de Jos” University, Romania
Adina Cocu, “Dunarea de Jos” University, Romania
Association Rule Mining of Relational Data
-
Anne Denton, North Dakota State University, USA
Christopher Besemann, North Dakota State University, USA
Association Rules and Statistics
-
Martine Cadot, University of Henri Poincaré/LORIA, Nancy, France
Jean-Baptiste Maj, LORIA/INRIA, France
Tarek Ziadé, NUXEO, France
Audio and Speech Processing for Data Mining
-
Zheng-Hua Tan, Aalborg University, Denmark
Audio Indexing
-
Gaël Richard, Ecole Nationale Supérieure des Télécommunications
(TELECOM ParisTech), France
Automatic Data Warehouse Conceptual Design Approach, An
-
Jamel FEKI, Mir@cl Laboratory,
Université de Sfax, Tunisia
Ahlem Nabli, Mir@cl Laboratory, Université de Sfax, Tunisia
Hanêne Ben-Abdallah, Mir@cl Laboratory, Université de Sfax, Tunisia
Faiez Gargouri, Mir@cl Laboratory, Université de Sfax, Tunisia
Automatic Genre-Specific Text Classification
-
Xiaoyan Yu, Virginia Tech, USA; Manas Tungare,
Virginia Tech, USA
Weiguo Fan, Virginia Tech, USA
Manuel Pérez-Quiñones, Virginia Tech, USA
Edward A. Fox, Virginia Tech, USA
William Cameron, Villanova University, USA
Lillian Cassel, Villanova University, USA
Automatic Music Timbre Indexing
-
Xin Zhang, University of North Carolina at Charlotte, USA
Zbigniew W. Ras, University of North Carolina, Charlotte, USA
Bayesian Based Machine Learning Application to Task Analysis, A
-
Shu-Chiang Lin,
Purdue University, USA
Mark R. Lehto, Purdue University, USA
Behavioral Pattern-Based Customer Segmentation
-
Yinghui Yang, University of California, Davis, USA
Best Practices in Data Warehousing
-
Les Pang, University of Maryland University College, USA
Bibliomining for Library Decision-Making
-
Scott Nicholson, Syracuse University School of Information
Studies, USA
Jeffrey Stanton, Syracuse University School of Information Studies, USA
Bioinformatics and Computational Biology
-
Gustavo Camps-Valls, Universitat de València, Spain
Alistair Morgan Chalk, Eskitis Institute for Cell and Molecular Therapies, Griffths University, Australia
Biological Image Analysis via Matrix Approximation
-
Jieping Ye, Arizona State University, USA
Ravi Janardan, University of Minnesota, USA
Sudhir Kumar, Arizona State University, USA
Bitmap Join Indexes vs. Data Partitioning
-
Ladjel Bellatreche, Poitiers University, France
Bridging Taxonomic Semantics to Accurate Hierarchical Classification
-
Lei Tang,
Arizona State University, USA
Huan Liu, Arizona State University, USA
Jianping Zhang, The MITRE Corporation, USA
Case Study of a Data Warehouse in the Finnish Police, A
-
Arla Juntunen, Helsinki School of
Economics/Finland’s Government Ministry of the Interior, Finland
Classification and Regression Trees
-
Johannes Gehrke, Cornell University, USA
Classification Methods
-
Aijun An, York University, Canada
Classification of Graph Structures
-
Andrzej Dominik, Warsaw University of Technology, Poland
Zbigniew Walczak, Warsaw University of Technology, Poland
Jacek Wojciechowski, Warsaw University of Technology, Poland
Classifying Two-Class Chinese Texts in Two Steps
-
Xinghua Fan, Chongqing University of Posts and
Telecommunications, China
Cluster Analysis for Outlier Detection
-
Frank Klawonn, University of Applied Sciences
Braunschweig/Wolfenbuettel, Germany
Frank Rehm, German Aerospace Center, Germany
Cluster Analysis in Fitting Mixtures of Curves
-
Tom Burr, Los Alamos National Laboratory, USA
Cluster Analysis with General Latent Class Model
-
Dingxi Qiu, University of Miami, USA
Edward C. Malthouse, Northwestern University, USA
Cluster Validation
-
Ricardo Vilalta, University of Houston, USA
Tomasz Stepinski, Lunar and Planetary Institute, USA
Clustering Analysis of Data with High Dimensionality
-
Athman Bouguettaya, CSIRO ICT Center,
Australia
Qi Yu, Virginia Tech, USA
Clustering Categorical Data with K-Modes
-
Joshua Zhexue Huang, The University of Hong Kong,
Hong Kong
Clustering Data in Peer-to-Peer Systems
-
Mei Li, Microsoft Corporation, USA
Wang-Chien Lee, Pennsylvania State University, USA
Clustering of Time Series Data
-
Anne Denton, North Dakota State University, USA
Clustering Techniques, On
-
Sheng Ma,Machine Learning for Systems IBM T.J. Watson Research Center,
USA
Tao Li, School of Computer Science Florida International University, USA
Comparing Four-Selected Data Mining Software
-
Richard S. Segall, Arkansas State University, USA
Qingyu Zhang, Arkansas State University, USA
Compression-Based Data Mining
-
Eamonn Keogh, University of California - Riverside, USA
Li Wei, Google, Inc, USA
John C. Handley, Xerox Innovation Group, USA
Computation of OLAP Data Cubes
-
Amin A. Abdulghani, Quantiva, USA
Conceptual Modeling for Data Warehouse and OLAP Applications
-
Elzbieta Malinowski,
Universidad de Costa Rica, Costa Rica
Esteban Zimányi, Université Libre de Bruxelles, Belgium
Constrained Data Mining
-
Brad Morantz, Science Applications International Corporation, USA
Constraint-Based Association Rule Mining
-
Carson Kai-Sang Leung, The University of
Manitoba, Canada
Constraint-Based Pattern Discovery
-
Francesco Bonchi, ISTI-C.N.R, Italy
Context-Driven Decision Mining
-
Alexander Smirnov, St. Petersburg Institute for Informatics and
Automation of the Russian Academy of Sciences, Russia
Michael Pashkin, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia
Tatiana Levashova, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia
Alexey Kashevnik, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia
Nikolay Shilov, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Russia
Context-Sensitive Attribute Evaluation
-
Marko Robnik-Šikonja, University of Ljubljana, FRI
Control-Based Database Tuning Under Dynamic Workloads
-
Yi-Cheng Tu, University of South Florida,
USA
Gang Ding, Olympus Communication Technology of America, Inc., USA
Cost-Sensitive Learning
-
Victor S. Sheng, New York University, USA
Charles X. Ling, The University of Western Ontario, Canada
Count Models for Software Quality Estimation
-
Kehan Gao, Eastern Connecticut State University, USA
Taghi M. Khoshgoftaar, Florida Atlantic University, USA
Data Analysis for Oil Production Prediction
-
Christine W. Chan, University of Regina, Canada
Hanh H. Nguyen, University of Regina, Canada
Xiongmin Li, University of Regina, Canada
Data Confidentiality and Chase-Based Knowledge Discovery
-
Seunghyun Im, University of Pittsburgh
at Johnstown, USA
Zbigniew W. Ras, University of North Carolina, Charlotte, USA
Data Cube Compression Techniques: A Theoretical Review
-
Alfredo Cuzzocrea, University of Calabria,
Italy
Data Distribution View of Clustering Algorithms, A
-
Junjie Wu, Tsingnua University, China
Jian Chen, Tsinghua University, China
Hui Xiong, Rutgers University, USA
Data Driven vs. Metric Driven Data Warehouse Design
-
John M. Artz, The George Washington
University, USA
Data Mining and Privacy
-
Esma Aïmeur, Université de Montréal, Canada
Sébastien Gambs, Université de Montréal, Canada
Data Mining and the Text Categorization Framework
-
Paola Cerchiello, University of Pavia, Italy
Data Mining Applications in Steel Industry
-
Joaquín Ordieres-Meré, University of La Rioja, Spain
Manuel Castejón-Limas, University of León, Spain
Ana González-Marcos, University of León, Spain
Data Mining Applications in the Hospitality Industry
-
Soo Kim, Montclair State University, USA
Li-Chun Lin, Montclair State University, USA
Yawei Wang, Montclair State University, USA
Data Mining for Fraud Detection System
-
Roberto Marmo, University of Pavia, Italy
Data Mining for Improving Manufacturing Processes
-
Lior Rokach, Ben-Gurion University, Israel
Data Mining for Internationalization
-
Luciana Dalla Valle, University of Milan, Italy
Data Mining for Lifetime Value Estimation
-
Silvia Figini, University of Pavia, Italy
Data Mining for Model Identification
-
Diego Liberati, Italian National Research Council, Italy
Data Mining for Obtaining Secure E-mail Communications
-
Mª Dolores del Castillo, Instituto de
Automática Industrial (CSIC), Spain
Ángel Iglesias, Instituto de Automática Industrial (CSIC), Spain
José Ignacio Serrano, Instituto de Automática Industrial (CSIC), Spain
Data Mining for Structural Health Monitoring
-
Ramdev Kanapady, University of Minnesota, USA
Aleksandar Lazarevic, United Technologies Research Center, USA
Data Mining for the Chemical Process Industry
-
Ng Yew Seng, National University of Singapore,
Singapore
Rajagopalan Srinivasan, National University of Singapore, Singapore
Data Mining in Genome Wide Association Studies
-
Tom Burr, Los Alamos National Laboratory, USA
Data Mining in Protein Identification by Tandem Mass Spectrometry
-
Haipeng Wang, Institute of
Computing Technology & Graduate University of Chinese Academy of Sciences, China
Data Mining in Security Applications
-
Aleksandar Lazarevic, United Technologies
Research Center, USA
Data Mining in the Telecommunications Industry
-
Gary Weiss, Fordham University, USA
Data Mining Lessons Learned in the Federal Government
-
Les Pang, National Defense
University, USA
Data Mining Methodology for Product Family Design, A
-
Seung Ki Moon, The Pennsylvania State
University, USA
Timothy W. Simpson, The Pennsylvania State University, USA
Soundar R.T. Kumara, The Pennsylvania State University, USA
Data Mining on XML Data
-
Qin Ding, East Carolina University, USA
Data Mining Tool Selection
-
Christophe Giraud-Carrier, Brigham Young University, USA
Data Mining with Cubegrades
-
Amin A. Abdulghani, Data Mining Engineer, USA
Data Mining with Incomplete Data
-
Shouhong Wang, University of Massachusetts Dartmouth, USA
Hai Wang, Saint Mary’s University, Canada
Data Pattern Tutor for AprioriAll and PrefixSpan
-
Mohammed Alshalalfa, University of Calgary,
Canada
Ryan Harrison, University of Calgary, Canada
Jeremy Luterbach, University of Calgary, Canada
Keivan Kianmehr, University of Calgary, Canada
Reda Alhajj, University of Calgary, Canada
Data Preparation for Data Mining
-
Magdi Kamel, Naval Postgraduate School, USA
Volume II
Data Provenance
-
Vikram Sorathia, Dhirubhai Ambani Institute of Information and Communication
Technology (DA-IICT), India
Anutosh Maitra, Dhirubhai Ambani Institute of Information and Communication Technology, India
Data Quality in Data Warehouses
-
William E. Winkler, U.S. Bureau of the Census, USA
Data Reduction with Rough Sets
-
Richard Jensen, Aberystwyth University, UK
Qiang Shen, Aberystwyth University, UK
Data Streams
-
João Gama, University of Porto, Portugal
Pedro Pereira Rodrigues, University of Porto, Portugal
Data Transformations for Normalization
-
Amitava Mitra, Auburn University, USA
Data Warehouse Back-End Tools
-
Alkis Simitsis, National Technical University of Athens, Greece
Dimitri Theodoratos, New Jersey Institute of Technology, USA
Data Warehouse Performance
-
Beixin (Betsy) Lin, Montclair State University, USA
Yu Hong, Colgate-Palmolive Company, USA
Zu-Hsu Lee, Montclair State University, USA
Data Warehousing and Mining in Supply Chains
-
Reuven R. Levary, Saint Louis University, USA
Richard Mathieu, Saint Louis University, USA
Data Warehousing for Association Mining
-
Yuefeng Li, Queensland University of Technology, Australia
Database Queries, Data Mining, and OLAP
-
Lutz Hamel, University of Rhode Island, USA
Database Sampling for Data Mining
-
Patricia E.N. Lutu, University of Pretoria, South Africa
Database Security and Statistical Database Security
-
Edgar R. Weippl, Secure Business Austria, Austria
Data-Driven Revision of Decision Models
-
Martin Žnidaršič, Jožef Stefan Institute, Slovenia
Marko Bohanec, Jožef Stefan Institute, Slovenia
Blaž Zupan, University of Ljubljana, Slovenia, and Baylor College of Medicine, USA
Decision Tree Induction
-
Roberta Siciliano, University of Naples Federico II, Italy
Claudio Conversano, University of Cagliari, Italy
Deep Web Mining through Web Services
-
Monica Maceli, Drexel University, USA
Min Song, New Jersey Institute of Technology & Temple University, USA
DFM as a Conceptual Model for Data Warehouse
-
Matteo Golfarelli, University of Bologna, Italy
Direction-Aware Proximity on Graphs
-
Hanghang Tong, Carnegie Mellon University, USA
Yehuda Koren, AT&T Labs - Research, USA
Christos Faloutsos, Carnegie Mellon University, USA
Discovering an Effective Measure in Data Mining
-
Takao Ito, Ube National College of
Technology, Japan
Discovering Knowledge from XML Documents
-
Richi Nayak, Queensland University of Technology,
Australia
Discovering Unknown Patterns in Free Text
-
Jan H Kroeze, University of Pretoria, South Africa
Machdel C. Matthee, University of Pretoria, South Africa
Discovery Informatics from Data to Knowledge
-
William W. Agresti, Johns Hopkins University, USA
Discovery of Protein Interaction Sites
-
Haiquan Li, The Samuel Roberts Noble Foundation, Inc, USA
Jinyan Li, Nanyang Technological University, Singapore
Xuechun Zhao, The Samuel Roberts Noble Foundation, Inc, USA
Distance-Based Methods for Association Rule Mining
-
Vladimír Bartík, Brno University of
Technology, Czech Republic
Jaroslav Zendulka, Brno University of Technology, Czech Republic
Distributed Association Rule Mining
-
David Taniar, Monash University, Australia
Mafruz Zaman Ashrafi, Monash University, Australia
Kate A. Smith, Monash University, Australia
Distributed Data Aggregation for DDoS Attacks Detection
-
Yu Chen, State University of New York -
Binghamton, USA
Wei-Shinn Ku, Auburn University, USA
Distributed Data Mining
-
Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece
Ioannis Vlahavas, Aristotle University of Thessaloniki, Greece
Document Indexing Techniques for Text Mining
-
José Ignacio Serrano, Instituto de Automática
Industrial (CSIC), Spain
Mª Dolores del Castillo, Instituto de Automática Industrial (CSIC), Spain
Dynamic Data Mining
-
Richard Weber, University of Chile, Chile
Dynamical Feature Extraction from Brain Activity Time Series
-
Chang-Chia Liu, University of Florida, USA
Wanpracha Art Chaovalitwongse, Rutgers University, USA
Basim M. Uthman, NF/SG VHS & University of Florida, USA
Panos M. Pardalos, University of Florida, USA
Efficient Graph Matching
-
Diego Refogiato Recupero, University of Catania, Italy
Enclosing Machine Learning
-
Xunkai Wei, University of Air Force Engineering, China
Yinghong Li, University of Air Force Engineering, China
Yufei Li, University of Air Force Engineering, China
Enhancing Web Search through Query Expansion
-
Daniel Crabtree, Victoria University of
Wellington, New Zealand
Enhancing Web Search through Query Log Mining
-
Ji-Rong Wen, Miscrosoft Research Asia, China
Enhancing Web Search through Web Structure Mining
-
Ji-Rong Wen, Miscrosoft Research Asia, China
Ensemble Data Mining Methods
-
Nikunj C. Oza, NASA Ames Research Center, USA
Ensemble Learning for Regression
-
Niall Rooney, University of Ulster, UK
David Patterson, University of Ulster, UK
Chris Nugent, University of Ulster, UK
Ethics of Data Mining
-
Jack Cook, Rochester Institute of Technology, USA
Evaluation of Data Mining Methods
-
Paolo Giudici, University of Pavia, Italy
Evaluation of Decision Rules by Qualities for Decision-Making Systems
-
Ivan Bruha,
McMaster University, Canada
Evolution of SDI Geospatial Data Clearinghouses, The
-
Maurie Caitlin Kelly, The Pennsylvania State
University, USA
Bernd J. Haupt, The Pennsylvania State University, USA
Ryan E. Baxter, The Pennsylvania State University, USA
Evolutionary Approach to Dimensionality Reduction
-
Amit Saxena, Guru Ghasidas University, Bilaspur,
India
Megha Kothari, St. Peter’s University, Chennai, India
Navneet Pandey, Indian Institute of Technology, Delhi, India
Evolutionary Computation and Genetic Algorithms
-
William H. Hsu, Kansas State University, USA
Evolutionary Data Mining For Genomics
-
Laetitia Jourdan, University of Lille, France
Clarisse Dhaenens, University of Lille, France
El-Ghazali Talbi, University of Lille, France
Evolutionary Development of ANNs for Data Mining
-
Daniel Rivero, University of A Coruña, Spain
Juan R. Rabuñal, University of A Coruña, Spain
Julián Dorado, University of A Coruña, Spain
Alejandro Pazos, University of A Coruña, Spain
Evolutionary Mining of Rule Ensembles
-
Jorge Muruzábal, University Rey Juan Carlos, Spain
Explanation-Oriented Data Mining, On
-
Yiyu Yao, University of Regina, Canada
Yan Zhao, University of Regina, Canada
Extending a Conceptual Multidimensional Model for Representing Spatial Data
-
Elzbieta Malinowski,
Universidad de Costa Rica, Costa Rica
Esteban Zimányi, Université Libre de Bruxelles, Belgium
Facial Recognition
-
Rory A. Lewis, UNC-Charlotte, USA
Zbigniew W. Ras, University of North Carolina, Charlotte, USA
Feature Extraction/
Selection in High-Dimensional Spectral Data
-
Seoung Bum Kim, The University
of Texas at Arlington, USA
Feature Reduction for Support Vector Machines
-
Shouxian Cheng, Planet Associates, Inc., USA
Frank Y. Shih, New Jersey Institute of Technology, USA
Feature Selection
-
Damien François, Université Catholique de Louvain, Belgium
Financial Time Series Data Mining
-
Indranil Bose, The University of Hong Kong, Hong Kong
Chung Man Alvin Leung, The University of Hong Kong, Hong Kong
Yiu Ki Lau, The University of Hong Kong, Hong Kong
Flexible Mining of Association Rules
-
Hong Shen, Japan Advanced Institute of Science
and Technology, Japan
Formal Concept Analysis Based Clustering
-
Jamil M. Saquer, Southwest Missouri State
University, USA
Frequent Sets Mining in Data Stream Environments
-
Xuan Hong Dang, Nanyang Technological
University, Singapore
Wee-Keong Ng, Nanyang Technological University, Singapore
Kok-Leong Ong, Deakin University, Australia
Vincent Lee, Monash University, Australia
Fuzzy Methods in Data Mining
-
Eyke Hüllermeier, Philipps-Universität Marburg, Germany
General Model for Data Warehouses
-
Michel Schneider, Blaise Pascal University, France
Genetic Algorithm for Selecting Horizontal Fragments, A
-
Ladjel Bellatreche, Poitiers
University, France
Genetic Programming
-
William H. Hsu, Kansas State University, USA
Genetic Programming for Creating Data Mining Algorithms
-
Alex A. Freitas, University of Kent, UK
Gisele L. Pappa, Federal University of Minas Geras, Brazil
Global Induction of Decision Trees
-
Kretowski Marek, Bialystok Technical University, Poland
Grzes Marek, University of York, UK
Graph-Based Data Mining
-
Lawrence B. Holder, University of Texas at Arlington, USA
Diane J. Cook, University of Texas at Arlington, USA
Graphical Data Mining
-
Carol J. Romanowski, Rochester Institute of Technology, USA
Guide Manifold Alignment by Relative Comparisons
-
Liang Xiong, Tsinghua University, China
Fei Wang, Tsinghua University, China
Changshui Zhang, Tsinghua University, China
Guided Sequence Alignment
-
Abdullah N. Arslan, University of Vermont, USA
Hierarchical Document Clustering
-
Benjamin C. M. Fung, Concordia University, Canada
Ke Wang, Simon Fraser University, Canada
Martin Ester, Simon Fraser University, Canada
Histograms for OLAP and Data-Stream Queries
-
Francesco Buccafurri, DIMET, Università di Reggio
Calabria, Italy
Gianluca Caminiti, DIMET, Università di Reggio Calabria, Italy
Gianluca Lax, DIMET, Università di Reggio Calabria, Italy
Homeland Security Data Mining and Link Analysis
-
Bhavani Thuraisingham,
The MITRE Corporation, USA
Humanities Data Warehousing
-
Janet Delve, University of Portsmouth, UK
Hybrid Genetic Algorithms in Data Mining Applications
-
Sancho Salcedo-Sanz, Universidad de Alcalá,
Spain
Gustavo Camps-Valls, Universitat de València, Spain
Carlos Bousoño-Calzón, Universidad Carlos III de Madrid, Spain
Imprecise Data and the Data Mining Process
-
John F. Kros, East Carolina University, USA
Marvin L. Brown, Grambling State University, USA
Incremental Learning
-
Abdelhamid Bouchachia, University of Klagenfurt, Austria
Incremental Mining from News Streams
-
Seokkyung Chung, University of Southern California, USA
Jongeun Jun, University of Southern California, USA
Dennis McLeod, University of Southern California, USA
Inexact Field Learning Approach for Data Mining
-
Honghua Dai, Deakin University, Australia
Information Fusion for Scientific Literature Classification
-
Gary G. Yen,
Oklahoma State University, USA
Information Veins and Resampling with Rough Set Theory
-
Benjamin Griffiths, Cardiff University, UK
Malcolm J. Beynon, Cardiff University, UK
Instance Selection
-
Huan Liu, Arizona State University, USA; Lei Yu, Arizona State University, USA
Integration of Data Mining and Operations Research
-
Stephan Meisel, University of Braunschweig, Germany
Dirk C. Mattfeld, University of Braunschweig, Germany
Integration of Data Sources through Data Mining
-
Andreas Koeller, Montclair State University, USA
Integrative Data Analysis for Biological Discovery
-
Sai Moturu, Arizona State University, USA
Lance Parsons, Arizona State University, USA
Zheng Zhao, Arizona State University, USA
Huan Liu, Arizona State University, USA
Intelligent Image Archival and Retrieval System
-
P. Punitha, University of Glasgow, UK
D. S. Guru, University of Mysore, India
Intelligent Query Answering
-
Zbigniew W. Ras, University of North Carolina, Charlotte, USA
Agnieszka Dardzinska, Bialystok Technical University, Poland
Interacting Features in Subset Selection, On
-
Zheng Zhao, Arizona State University, USA
Huan Liu, Arizona State University, USA
Interactive Data Mining, On
-
Yan Zhao, University of Regina, Canada
Yiyu Yao, University of Regina, Canada
Interest Pixel Mining
-
Qi Li, Western Kentucky University, USA
Jieping Ye, Arizona State University, USA
Chandra Kambhamettu, University of Delaware, USA
Introduction to Kernel Methods, An
-
Gustavo Camps-Valls, Universitat de València, Spain
Manel Martínez-Ramón, Universidad Carlos III de Madrid, Spain
José Luis Rojo-Álvarez, Universidad Carlos III de Madrid, Spain
Issue of Missing Values in Data Mining, The
-
Malcolm J. Beynon, Cardiff University, UK
Volume III
Knowledge Acquisition from Semantically Heterogeneous Data
-
Doina Caragea, Kansas State
University, USA
Vasant Honavar, Iowa State University, USA
Knowledge Discovery in Databases with Diversity of Data Types
-
QingXing Wu, University of Ulster
at Magee, UK
T. Martin McGinnity, University of Ulster at Magee, UK
Girijesh Prasad, University of Ulster at Magee, UK
David Bell, Queen’s University, UK
Learning Bayesian Networks
-
Marco F. Ramoni, Harvard Medical School, USA
Paola Sebastiani, Boston University School of Public Health, USA
Learning Exceptions to Refine a Domain Expertise
-
Rallou Thomopoulos, INRA/LIRMM, France
Learning from Data Streams
-
João Gama, University of Porto, Portugal
Pedro Pereira Rodrigues, University of Porto, Portugal
Learning Kernels for Semi-Supervised Clustering
-
Bojun Yan, George Mason University, USA
Carlotta Domeniconi, George Mason University, USA
Learning Temporal Information from Text
-
Feng Pan, University of Southern California, USA
Learning with Partial Supervision
-
Abdelhamid Bouchachia, University of Klagenfurt, Austria
Legal and Technical Issues of Privacy Preservation in Data Mining
-
Kirsten Wahlstrom,
University of South Australia, Australia
John F. Roddick, Flinders University, Australia
Rick Sarre, University of South Australia, Australia
Vladimir Estivill-Castro, Griffith University, Australia
Denise de Vries, Flinders University, Australia
Leveraging Unlabeled Data for Classification
-
Yinghui Yang, University of California, Davis, USA
Balaji Padmanabhan, University of South Florida, USA
Locally Adaptive Techniques for Pattern Classification
-
Dimitrios Gunopulos, University of California,
USA
Carlotta Domeniconi, George Mason University, USA
Mass Informatics in Differential Proteomics
-
Xiang Zhang, University of Louisville, USA
Seza Orcun, Purdue University, USA
Mourad Ouzzani, Purdue University, USA
Cheolhwan Oh, Purdue University, USA
Materialized View Selection for Data Warehouse Design
-
Dimitri Theodoratos, New Jersey Institute of Technology, USA
Alkis Simitsis, National Technical University of Athens, Greece
Wugang Xu, New Jersey Institute of Technology, USA
Matrix Decomposition Techniques for Data Privacy
-
Jun Zhang, University of Kentucky, USA
Jie Wang, University of Kentucky, USA
Shuting Xu, Virginia State University, USA
Measuring the Interestingness of News Articles
-
Raymond K. Pon, University of California–Los Angeles, USA
Alfonso F. Cardenas, University of California–Los Angeles, USA
David J. Buttler, Lawrence Livermore National Laboratory, USA
Metaheuristics in Data Mining
-
Miguel García Torres, Universidad de La Laguna, Spain
Belén Melián Batista, Universidad de La Laguna, Spain
José A. Moreno Pérez, Universidad de La Laguna, Spain
José Marcos Moreno-Vega, Universidad de La Laguna, Spain
Meta-Learning
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Christophe Giraud-Carrier, Brigham Young University, USA
Pavel Brazdil, University of Porto, Portugal
Carlos Soares, University of Porto, Portugal
Ricardo Vilalta, University of Houston, USA
Method of Recognizing Entity and Relation, A
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Xinghua Fan, Chongqing University of Posts and Telecommunications, China
Microarray Data Mining
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Li-Min Fu, Southern California University of Health Sciences, USA
Minimum Description Length Adaptive Bayesian Mining
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Diego Liberati, Italian National
Research Council, Italy
Mining 3D Shape Data for Morphometric Pattern Discovery
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Li Shen, University of Massachusetts Dartmouth, USA
Fillia Makedon, University of Texas at Arlington, USA
Mining Chat Discussions
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Stanley Loh, Catholic University of Pelotas & Lutheran University of Brazil, Brazil
Daniel Licthnow, Catholic University of Pelotas, Brazil
Thyago Borges, Catholic University of Pelotas, Brazil
Tiago Primo, Catholic University of Pelotas, Brazil
Rodrigo Branco Kickhöfel, Catholic University of Pelotas, Brazil
Gabriel Simões, Catholic University of Pelotas, Brazil
Gustavo Piltcher, Catholic University of Pelotas, Brazil
Ramiro Saldaña, Catholic University of Pelotas, Brazil
Mining Data Streams
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Tamraparni Dasu, AT&T Labs, USA
Gary Weiss, Fordham University, USA
Mining Data with Group Theoretical Means
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Gabriele Kern-Isberner, University of Dortmund,
Germany
Mining Email Data
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Tobias Scheffer, Humboldt-Universität zu Berlin, Germany
Steffan Bickel, Humboldt-Universität zu Berlin, Germany
Mining Generalized Association Rules in an Evolving Environment
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Wen-Yang Lin, National University of Kaohsiung, Taiwan
Ming-Cheng Tseng, Institute of Information Engineering, Taiwan
Mining Generalized Web Data for Discovering Usage Patterns
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Doru Tanasa, INRIA Sophia Antipolis, France
Florent Masseglia, INRIA, France
Brigitte Trousse, INRIA Sophia Antipolis, France
Mining Group Differences
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Shane M. Butler, Monash University, Australia
Geoffrey I. Webb, Monash University, Australia
Mining Repetitive Patterns in Multimedia Data
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Junsong Yuan, Northwestern University, USA
Ying Wu, Northwestern University, USA
Mining Smart Card Data from an Urban Transit Network
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Bruno Agard, École Polytechnique de Montréal, Canada
Catherine Morency, École Polytechnique de Montréal, Canada
Martin Trépanier, École Polytechnique de Montréal, Canada
Mining Software Specifications
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David Lo, National University of Singapore, Singapore
Siau-Cheng Khoo, National University of Singapore, Singapore
Mining the Internet for Concepts
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Ramon F. Brena, Tecnolόgico de Monterrey, Mexίco
Ana Maguitman, Universidad Nacional del Sur, Argentina
Eduardo H. Ramirez, Tecnológico de Monterrey, Mexico
Model Assessment with ROC Curves
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Lutz Hamel, University of Rhode Island, USA
Modeling Quantiles
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Claudia Perlich, IBM T.J. Watson Research Center, USA
Saharon Rosset, IBM T.J. Watson Research Center, USA
Bianca Zadrozny, Universidade Federal Fluminense, Brazil
Modeling Score Distributions
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Anca Doloc-Mihu, University of Louisiana at Lafayette, USA
Modeling the KDD Process
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Vasudha Bhatnagar, University of Delhi, India
S. K. Gupta, IIT, Delhi, India
Multi-Agent System for Handling Adaptive E-Services, A
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Pasquale De Meo, Università degli Studi Mediterranea di Reggio Calabria, Italy
Giovanni Quattrone, Università degli Studi Mediterranea di Reggio Calabria, Italy
Giorgio Terracina, Università degli Studi della Calabria, Italy
Domenico Ursino, Università degli Studi Mediterranea di Reggio Calabria, Italy
Multiclass Molecular Classification
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Chia Huey Ooi, Duke-NUS Graduate Medical School
Singapore, Singapore
Multidimensional Modeling of Complex Data
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Omar Boussaid, University Lumière Lyon 2, France
Doulkifli Boukraa, University of Jijel, Algeria
Multi-Group Data Classification via MILP
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Fadime Üney Yüksektepe, Koç University, Turkey
Metin Türkay, Koç University, Turkey
Multi-Instance Learning with MultiObjective Genetic Programming
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Amelia Zafra, University of Cordoba, Spain
Sebastián Ventura, University of Cordoba, Spain
Multilingual Text Mining
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Peter A. Chew, Sandia National Laboratories, USA
Multiple Criteria Optimization in Data Mining
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Gang Kou, University of Electronic Science and Technology of China, China
Yi Peng, University of Electronic Science and Technology of China, China
Yong Shi, CAS Research Center on Fictitious Economy and Data Sciences, China & University of Nebraska at Omaha, USA
Multiple Hypothesis Testing for Data Mining
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Sach Mukherjee, University of Oxford, UK
Music Information Retrieval
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Alicja Wieczorkowska, Polish-Japanese Institute of Information
Technology, Poland
Neural Networks and Graph Transformations
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Ingrid Fischer, University of Konstanz, Germany
New Opportunities in Marketing Data Mining
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Victor S.Y. Lo, Fidelity Investments, USA
Non-linear Dimensionality Reduction Techniques
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Dilip Kumar Pratihar, Indian Institute of
Technology, India
Novel Approach on Negative Association Rules, A
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Ioannis N. Kouris, University of Patras, Greece
Offline Signature Recognition
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Richa Singh, Indian Institute of Technology, India
Indrani Chakravarty, Indian Institute of Technology, India
Nilesh Mishra, Indian Institute of Technology, India
Mayank Vatsa, Indian Institute of Technology, India
P. Gupta, Indian Institute of Technology, India
OLAP Visualization: Models, Issues, and Techniques
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Alfredo Cuzzocrea, University of Calabria,
Italy
Svetlana Mansmann, University of Konstanz, Germany
Online Analytical Processing Systems
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Rebecca Boon-Noi Tan, Monash University, Australia
Online Signature Recognition
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Mayank Vatsa, Indian Institute of Technology, India
Indrani Chakravarty, Indian Institute of Technology, India
Nilesh Mishra, Indian Institute of Technology, India
Richa Singh, Indian Institute of Technology, India
P. Gupta, Indian Instituteof Technology, India
Ontologies and Medical Terminologies
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James Geller, New Jersey Institute of Technology, USA
Order Preserving Data Mining
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Ioannis N. Kouris, University of Patras, Greece
Christos H. Makris, University of Patras, Greece
Kostas E. Papoutsakis, University of Patras, Greece
Outlier Detection
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Sharanjit Kaur, University of Delhi, India
Outlier Detection Techniques for Data Mining
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Fabrizio Angiulli, University of Calabria, Italy
Path Mining and Process Mining for Workflow Management Systems
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Jorge Cardoso,
SAP AG, Germany
W.M.P. van der Aalst, Eindhoven University of Technology, The Netherlands
Pattern Discovery as Event Association
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Andrew K. C. Wong, University of Waterloo, Canada
Yang Wang, Pattern Discovery Technology, Canada
Gary C. L. Li, University of Waterloo, Canada
Pattern Preserving Clustering
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Hui Xiong, Rutgers University, USA; Michael Steinbach, University
of Minnesota, USA
Pang-Ning Tan, Michigan State University, USA
Vipin Kumar, University of Minnesota, USA
Wenjun Zhou, Rutgers University, USA
Pattern Synthesis for Nonparametric Pattern Recognition
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P. Viswanath, Indian Institute of
Technology-Guwahati, India
M. Narasimha Murty, Indian Institute of Science, India
Shalabh Bhatnagar, Indian Institute of Science, India
Pattern Synthesis in SVM Based Classifier
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Radha. C, Indian Institute of Science, India
M. Narasimha Murty, Indian Institute of Science, India
Personal Name Problem and a Data Mining Solution, The
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Clifton Phua, Monash University, Australia
Vincent Lee, Monash University, Australia
Kate Smith-Miles, Deakin University, Australia
Perspectives and Key Technologies of Semantic Web Search
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Konstantinos Kotis,
University of the Aegean, Greece
Philosophical Perspective on Knowledge Creation, A
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Nilmini Wickramasinghe, Stuart School of
Business, Illinois Institute of Technology, USA
Rajeev K Bali, Coventry University, UK
Physical Data Warehousing Design
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Ladjel Bellatreche, Poitiers University, France
Mukesh Mohania, IBM India Research Lab, India
Positive Unlabelled Learning for Document Classification
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Xiao-Li Li, Institute for Infocomm
Research, Singapore
See-Kiong Ng, Institute for Infocomm Research, Singapore
Predicting Resource Usage for Capital Efficient Marketing
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D. R. Mani, Massachusetts Institute
of Technology and Harvard University, USA
Andrew L. Betz, Progressive Insurance, USA
James H. Drew, Verizon Laboratories, USA
Preference Modeling and Mining for Personalization
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Seung-won Hwang, Pohang University
of Science and Technology (POSTECH), Korea
Privacy Preserving OLAP and OLAP Security
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Alfredo Cuzzocrea, University of Calabria, Italy
Vincenzo Russo, University of Calabria, Italy
Privacy-Preserving Data Mining
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Stanley R. M. Oliveira, Embrapa Informática Agropecuária, Brazil
Volume IV
Process Mining to Analyze the Behaviour of Specific Users
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Laura Măruşter, University of Groningen, The Netherlands
Niels R. Faber, University of Groningen, The Netherlands
Profit Mining
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Ke Wang, Simon Fraser University, Canada
Senqiang Zhou, Simon Fraser University, Canada
Program Comprehension through Data Mining
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Ioannis N. Kouris, University of Patras, Greece
Program Mining Augmented with Empirical Properties
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Minh Ngoc Ngo, Nanyang Technological
University, Singapore
Hee Beng Kuan Tan, Nanyang Technological University, Singapore
Projected Clustering for Biological Data Analysis
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Ping Deng, University of Illinois at Springfield, USA
Qingkai Ma, Utica College, USA
Weili Wu, The University of Texas at Dallas, USA
Proximity-Graph-Based Tools for DNA Clustering
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Imad Khoury, School of Computer Science, McGill
University, Canada
Godfried Toussaint, School of Computer Science, McGill University, Canada
Antonio Ciampi, Epidemiology & Biostatistics, McGill University, Canada
Isadora Antoniano, Ciudad de México, Mexico
Carl Murie, McGill University and Genome Québec Innovation Centre, Canada
Robert Nadon, McGill University and Genome Québec Innovation Centre, Canada; Canada
Pseudo-Independent Models and Decision Theoretic Knowledge Discovery
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Yang Xiang,
University of Guelph, Canada
Quality of Association Rules by Chi-Squared Test
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Wen-Chi Hou, Southern Illinois University, USA
Maryann Dorn, Southern Illinois University, USA
Quantization of Continuous Data for Pattern Based Rule Extraction
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Andrew Hamilton-Wright,
University of Guelph, Canada, & Mount Allison University, Canada
Daniel W. Stashuk, University of Waterloo, Canada
Realistic Data for Testing Rule Mining Algorithms
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Colin Cooper, Kings’ College, UK
Michele Zito, University of Liverpool, UK
Real-Time Face Detection and Classification for ICCTV
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Brian C. Lovell, The University of
Queensland, Australia
Shaokang Chen, NICTA, Australia
Ting Shan, NICTA, Australia
Reasoning about Frequent Patterns with Negation
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Marzena Kryszkiewicz,
Warsaw University of Technology, Poland
Receiver Operating Characteristic (ROC) Analysis
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Nicolas Lachiche, University of Strasbourg,
France
Reflecting Reporting Problems and Data Warehousing
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Juha Kontio, Turku University of
Applied Sciences, Finland
Robust Face Recognition for Data Mining
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Brian C. Lovell, The University of Queensland, Australia
Shaokang Chen, NICTA, Australia; Ting Shan, NICTA, Australia
Rough Sets and Data Mining
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Jerzy Grzymala-Busse, University of Kansas, USA
Wojciech Ziarko, University of Regina, Canada
Sampling Methods in Approximate Query Answering Systems
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Gautam Das, The University of Texas
at Arlington, USA
Scalable Non-Parametric Methods for Large Data Sets
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V. Suresh Babu, Indian Institute of
Technology-Guwahati, India
P. Viswanath, Indian Institute of Technology-Guwahati, India
M. Narasimha Murty, Indian Institute of Science, India
Scientific Web Intelligence
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Mike Thelwall, University of Wolverhampton, UK
Seamless Structured Knowledge Acquisition
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Päivikki Parpola, Helsinki University of Technology,
Finland
Search Engines and their Impact on Data Warehouses
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Hadrian Peter, University of the West Indies,
Barbados
Charles Greenidge, University of the West Indies, Barbados
Search Situations and Transitions
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Nils Pharo, Oslo University College, Norway
Secure Building Blocks for Data Privacy
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Shuguo Han, Nanyang Technological University, Singapore
Wee-Keong Ng, Nanyang Technological University, Singapore
Secure Computation for Privacy Preserving Data Mining
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Yehuda Lindell,
Bar-Ilan University, Israel
Segmentation of Time Series Data
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Parvathi Chundi, University of Nebraska at Omaha, USA
Daniel J. Rosenkrantz, University of Albany, SUNY, USA
Segmenting the Mature Travel Market with Data Mining Tools
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Yawei Wang,
Montclair State University, USA
Susan A. Weston, Montclair State University, USA
Li-Chun Lin, Montclair State University, USA
Soo Kim, Montclair State University, USA
Semantic Data Mining
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Protima Banerjee, Drexel University, USA
Xiaohua Hu, Drexel University, USA
Illhoi Yoo, Drexel University, USA
Semantic Multimedia Content Retrieval and Filtering
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Chrisa Tsinaraki, Technical University
of Crete, Greece
Stavros Christodoulakis, Technical University of Crete, Greece
Semi-Structured Document Classification
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Ludovic Denoyer, University of Paris VI, France
Patrick Gallinari, University of Paris VI, France
Semi-Supervised Learning
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Tobias Scheffer, Humboldt-Universität zu Berlin, Germany
Sentiment Analysis of Product Reviews
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Cane W. K. Leung, The Hong Kong Polytechnic University,
Hong Kong SAR
Stephen C. F. Chan, The Hong Kong Polytechnic University, Hong Kong SAR
Sequential Pattern Mining
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Florent Masseglia, INRIA Sophia Antipolis, France
Maguelonne Teisseire, University of Montpellier II, France
Pascal Poncelet, Ecole des Mines d’Alès, France
Soft Computing for XML Data Mining
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K. G. Srinivasa, M S Ramaiah Institute of Technology, India
K. R. Venugopal, Bangalore University, India
L. M. Patnaik, Indian Institute of Science, India
Soft Subspace Clustering for High-Dimensional Data
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Liping Jing, Hong Kong Baptist University,
Hong Kong
Michael K. Ng, Hong Kong Baptist University, Hong Kong
Joshua Zhexue Huang, The University of Hong Kong, Hong Kong
Spatio-Temporal Data Mining for Air Pollution Problems
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Seoung Bum Kim, The University of Texas at Arlington, USA
Chivalai Temiyasathit, The University of Texas at Arlington, USA
Sun-Kyoung Park, North Central Texas Council of Governments, USA
Victoria C.P. Chen, The University of Texas at Arlington, USA
Spectral Methods for Data Clustering
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Wenyuan Li, Nanyang Technological University, Singapore
Wee-Keong Ng, Nanyang Technological University, Singapore
Stages of Knowledge Discovery in E-Commerce Sites
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Christophe Giraud-Carrier,
Brigham Young University, USA
Matthew Smith, Brigham Young University, USA
Statistical Data Editing
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Claudio Conversano, University of Cagliari, Italy
Roberta Siciliano, University of Naples Federico II, Italy
Statistical Metadata Modeling and Transformations
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Maria Vardaki, University of Athens, Greece
Statistical Models for Operational Risk
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Concetto Elvio Bonafede, University of Pavia, Italy
Statistical Web Object Extraction
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Jun Zhu, Tsinghua University, China
Zaiqing Nie, Microsoft Research Asia, China
Bo Zhang, Tsinghua University, China
Storage Systems for Data Warehousing
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Alexander Thomasian, New Jersey Institute of Technology - NJIT,
USA
José F. Pagán, New Jersey Institute of Technology, USA
Subgraph Mining
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Ingrid Fischer, University of Konstanz, Germany
Thorsten Meinl, University of Konstanz, Germany
Subsequence Time Series Clustering
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Jason R. Chen, Australian National University, Australia
Summarization in Pattern Mining
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Mohammad Al Hasan, Rensselaer Polytechnic Institute, USA
Supporting Imprecision in Database Systems
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Ullas Nambiar, IBM India Research Lab, India
Survey of Feature Selection Techniques, A
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Barak Chizi, Tel-Aviv University, Israel
Lior Rokach, Ben-Gurion University, Israel
Oded Maimon, Tel-Aviv University, Israel
Survival Data Mining
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Qiyang Chen, Montclair State University, USA
Dajin Wang, Montclair State University, USA
Ruben Xing, Montclair State University, USA
Richard Peterson, Montclair StateUniversity, USA
Symbiotic Data Miner
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Kuriakose Athappilly, Haworth College of Business, USA
Alan Rea, Western Michigan University, USA
Tabu Search for Variable Selection in Classification
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Silvia Casado Yusta, Universidad de Burgos, Spain
Joaquín Pacheco Bonrostro, Universidad de Burgos, Spain
Laura Nuñez Letamendía, Instituto de Empresa, Spain
Techniques for Weighted Clustering Ensembles
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Carlotta Domeniconi, George Mason University,
USA
Muna Al-Razgan, George Mason University, USA
Temporal Event Sequence Rule Mining
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Sherri K. Harms, University of Nebraska at Kearney, USA
Temporal Extension for a Conceptual Multidimensional Model
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Elzbieta Malinowski, Universidad de Costa Rica, Costa Rica
Esteban Zimányi, Université Libre de Bruxelles, Belgium
Text Categorization
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Megan Chenoweth, Innovative Interfaces, Inc, USA
Min Song, New Jersey Institute of Technology & Temple University, USA
Text Mining by Pseudo-Natural Language Understanding
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Ruqian Lu, Chinese Academy of Sciences,
China
Text Mining for Business Intelligence
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Konstantinos Markellos, University of Patras, Greece
Penelope Markellou, University of Patras, Greece
Giorgos Mayritsakis, University of Patras, Greece
Spiros Sirmakessis, Technological Educational Institution of Messolongi and Research Academic Computer Technology Institute, Greece
Athanasios Tsakalidis, University of Patras, Greece
Text Mining Methods for Hierarchical Document Indexing
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Han-Joon Kim, The University of Seoul,
Korea
Theory and Practice of Expectation Maximization (EM) Algorithm
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Chandan K. Reddy,
Wayne State University, USA
Bala Rajaratnam, Stanford University, USA
Time-Constrained Sequential Pattern Mining
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Ming-Yen Lin, Feng Chia University, Taiwan
Topic Maps Generation by Text Mining
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Hsin-Chang Yang, Chang Jung University, Taiwan, ROC
Chung-Hong Lee, National Kaohsiung University of Applied Sciences, Taiwan, ROC
Transferable Belief Model
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Philippe Smets, Université Libre de Bruxelles, Belgium
Tree and Graph Mining
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Yannis Manolopoulos, Aristotle University, Greece
Dimitrios Katsaros, Aristotle University, Greece
Uncertainty Operators in a Many-Valued Logic
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Herman Akdag, University Paris6, France
Isis Truck, University Paris VIII, France
User-Aware Multi-Agent System for Team Building, A
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Pasquale De Meo, Università degli Studi
Mediterranea di Reggio Calabria, Italy
Diego Plutino, Università Mediterranea di Reggio Calabria, Italy
Giovanni Quattrone, Università degli Studi Mediterranea di Reggio Calabria, Italy
Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy
Using Dempster-Shafer Theory in Data Mining
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Malcolm J. Beynon, Cardiff University, UK
Using Prior Knowledge in Data Mining
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Francesca A. Lisi, Università degli Studi di Bari, Italy
Utilizing Fuzzy Decision Trees in Decision Making
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Malcolm J. Beynon, Cardiff University, UK
Variable Length Markov Chains for Web Usage Mining
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José Borges, University of Porto, Portugal
Mark Levene, Birkbeck, University of London, UK
Vertical Data Mining on Very Large Data Sets
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William Perrizo, North Dakota State University, USA
Qiang Ding, Chinatelecom Americas, USA
Qin Ding, East Carolina University, USA
Taufik Abidin, North Dakota State University, USA
Video Data Mining
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JungHwan Oh, University of Texas at Arlington, USA
JeongKyu Lee, University of Texas at Arlington, USA
Sae Hwang, University of Texas at Arlington, USA
View Selection in Data Warehousing and OLAP: A Theoretical Review
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Alfredo Cuzzocrea,
University of Calabria, Italy
Visual Data Mining from Visualization to Visual Information Mining
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Herna L Viktor,
University of Ottawa, Canada
Eric Paquet, National Research Council, Canada
Visualization of High-Dimensional Data with Polar Coordinates
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Frank Rehm, German Aerospace
Center, Germany
Frank Klawonn, University of Applied Sciences Braunschweig/Wolfenbuettel, Germany
Rudolf Kruse, University of Magdenburg, Germany
Visualization Techniques for Confidence Based Data
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Andrew Hamilton-Wright, University of Guelph,
Canada, & Mount Allison University, Canada
Daniel W. Stashuk, University of Waterloo, Canada
Web Design Based On User Browsing Patterns
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Yinghui Yang, University of California, Davis, USA
Web Mining in Thematic Search Engines
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Massimiliano Caramia, University of Rome “Tor Vergata”,
Italy
Giovanni Felici, Istituto di Analisi dei Sistemi ed Informatica IASI-CNR, Italy
Web Mining Overview
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Bamshad Mobasher, DePaul University, USA
Web Page Extension of Data Warehouses
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Anthony Scime, State University of New York College
at Brockport, USA
Web Usage Mining with Web Logs
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Xiangji Huang, York University, Canada
Aijun An, York University, Canada; Yang Liu, York University, Canada
Wrapper Feature Selection
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Kyriacos Chrysostomou, Brunel University, UK
Manwai Lee, Brunel University, UK
Sherry Y. Chen, Brunel University, UK
Xiaohui Liu, Brunel University, UK
XML Warehousing and OLAP
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Hadj Mahboubi, University of Lyon (ERIC Lyon 2), France
Marouane Hachicha, University of Lyon (ERIC Lyon 2), France
Jérôme Darmont, University of Lyon (ERIC Lyon 2), France
XML-Enabled Association Analysis
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Ling Feng, Tsinghua University, China


