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Data Mining Techniques for Outlier Detection

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DOI: 10.4018/978-1-4666-2455-9.ch009
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Suri, N, M Murty and G Athithan. "Data Mining Techniques for Outlier Detection." Data Mining: Concepts, Methodologies, Tools, and Applications. IGI Global, 2013. 159-178. Web. 24 Apr. 2014. doi:10.4018/978-1-4666-2455-9.ch009


Suri, N., Murty, M., & Athithan, G. (2013). Data Mining Techniques for Outlier Detection. In I. Management Association (Ed.), Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 159-178). Hershey, PA: Information Science Reference. doi:10.4018/978-1-4666-2455-9.ch009


Suri, N, M Murty and G Athithan. "Data Mining Techniques for Outlier Detection." In Data Mining: Concepts, Methodologies, Tools, and Applications, ed. Information Resources Management Association, 159-178 (2013), accessed April 24, 2014. doi:10.4018/978-1-4666-2455-9.ch009

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Among the growing number of data mining techniques in various application areas, outlier detection has gained importance in recent times. Detecting the objects in a data set with unusual properties is important as such outlier objects often contain useful information on abnormal behavior of the system described by the data set. Outlier detection has been popularly used for detection of anomalies in computer networks, fraud detection and such applications. Though a number of research efforts address the problem of detecting outliers in data sets, there are still many challenges faced by the research community in terms of identifying a suitable technique for addressing specific applications of interest. These challenges are primarily due to the large volume of high dimensional data associated with most data mining applications and also due to the performance requirements. This chapter highlights some of the important research issues that determine the nature of the outlier detection algorithm required for a typical data mining application. The research issues discussed include the method of outlier detection, size and dimensionality of the data set, and nature of the target application. Thus this chapter attempts to cover the challenges and possible research directions along with a survey of various data mining techniques dealing with the outlier detection problem.
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The recent developments in the field of data mining have lead to the outlier detection process mature as one of the popular data mining tasks. Due to its significance in the data mining process, outlier detection is also known as outlier mining. Typically, outliers are data objects that are significantly different from the rest of the data. Outlier detection or outlier mining refers to the process of identifying such rare objects in a given data set. Although rare objects are known to be fewer in number, their significance is high compared to other objects, making their detection an important task. The general requirement of this task is to identify and remove the contaminating effect of the outlying objects on the data and as such to purify the data for further processing. More formally, the outlier detection problem can be defined as follows: given a set of data objects, find a specific number of objects that are considerably dissimilar, exceptional and inconsistent with respect to the remaining data (Han, 2000). A number of new techniques have been proposed recently in the field of data mining to solve this problem. This chapter mainly deals with these techniques for outlier detection and highlights their relative merits and demerits.

Many data mining algorithms try to minimize the influence of outliers or eliminate them all together. However, this could result in the loss of important hidden information since one person’s noise could be another person’s signal (Knorr, 2000). Thus, the outliers themselves may be of particular interest, as in the case of fraud detection, where they may indicate some fraudulent activity. Besides fraud detection, financial applications and niche marketing and network intrusion detection are other applications of outlier detection, making it an interesting and important data-mining task. Depending on the application domain, outlier detection has been variously referred to as novelty detection (Markou, 2003a), chance discovery (McBurney, 2003), or exception mining (Suzuki, 2000), etc. A related field of research is activity monitoring with the purpose of detecting illegal access. This task consists of monitoring an online data source in the search for unusual behavior (Fawcett, 1999).

Much of the research related to outlier detection has evolved in the context of anomaly detection. An anomaly is something that is different from normal behavior. Though anomalies are often considered as noise, they could be deemed as the early indicators of a possible major adverse effect. Thus, detection of anomalies is important in its own right and also due to the increasing number of applications like computer network intrusion detection (Chandola, 2009; Lazarevic, 2003), fraud detection, astronomical data analysis (Chaudhary, 2002), etc. In most of the cases, anomaly detection is intended to understand evolving new phenomena that is not seen in the past data. A standard method for detecting anomalies is to create a model of the normal data and compare the future observations against the model. However, as the definition of normality differs across various problem domains, the problem of anomaly detection turns out to be a more challenging and involved process. A generic computational approach is to look for outliers in the given data set. Some research efforts in this direction can be found in (Lazarevic, 2003; Sithirasenan, 2008), in the context of network intrusion detection.

There have been various definitions in the literature for outliers that were proposed in different research contexts. A popular one among them, given by (Hawkins, 1980), is to define an outlier as an observation that deviates so much from other observations as to arouse suspicion that it is generated by a different mechanism. The presence of an outlying object in a data set shows itself in some form or the other. For example, data objects P and Q in Figure 1(a) are outliers, which is obvious from a visual examination. However, in cases where the objects like P1 and P2 in Figure 1(b) are present in a data set, identifying them as outliers requires some extra effort. Also, depending on the relative position and grouping of outliers in a data set, some specialized techniques are required for their detection.

Figure 1.

Sample outliers depicted in two example scenarios


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Table of Contents
Chapter 1
Sangeetha Kutty, Richi Nayak, Tien Tran
With the increasing number of XML documents in varied domains, it has become essential to identify ways of finding interesting information from... Sample PDF
A Study of XML Models for Data Mining: Representations, Methods, and Issues
Chapter 2
Anthony Scime, Karthik Rajasethupathy, Kulathur S. Rajasethupathy, Gregg R. Murray
Data mining is a collection of algorithms for finding interesting and unknown patterns or rules in data. However, different algorithms can result in... Sample PDF
Finding Persistent Strong Rules: Using Classification to Improve Association Mining
Chapter 3
Frederick E. Petry
This chapter focuses on the application of the discovery of association rules in approaches vague spatial databases. The background of data mining... Sample PDF
Data Discovery Approaches for Vague Spatial Data
Chapter 4
Laurent A. Baumes
The data mining technology increasingly employed into new industrial processes, which require automatic analysis of data and related results in... Sample PDF
Active Learning and Mapping: A Survey and Conception of a New Stochastic Methodology for High Throughput Materials Discovery
Chapter 5
Harleen Kaur, Ritu Chauhan, M. Alam
With the continuous availability of massive experimental medical data has given impetus to a large effort in developing mathematical, statistical... Sample PDF
An Optimal Categorization of Feature Selection Methods for Knowledge Discovery
Chapter 6
Huiwei Guan
Distributed computing and Peer-to-Peer (P2P) systems have emerged as an active research field that combines techniques which cover networks... Sample PDF
Parallel Computing for Mining Association Rules in Distributed P2P Networks
Chapter 7
Fernando Benites, Elena Sapozhnikova
Methods for the automatic extraction of taxonomies and concept hierarchies from data have recently emerged as essential assistance for humans in... Sample PDF
Learning Different Concept Hierarchies and the Relations between them from Classified Data
Chapter 8
Baoying Wang, Aijuan Dong
Clustering and outlier detection are important data mining areas. Online clustering and outlier detection generally work with continuous data... Sample PDF
Online Clustering and Outlier Detection
Chapter 9
N Suri, M Murty, G Athithan
Among the growing number of data mining techniques in various application areas, outlier detection has gained importance in recent times. Detecting... Sample PDF
Data Mining Techniques for Outlier Detection
Chapter 10
Ramón A. Carrasco, Miguel J. Hornos, Pedro Villar, María A. Aguilar
In this chapter, we address the problem of integrating semantically heterogeneous data (including data expressed in natural language), which are... Sample PDF
An Extraction, Transformation, and Loading Tool Applied to a Fuzzy Data Mining System
Chapter 11
Diego Milone, Georgina Stegmayer, Matías Gerard, Laura Kamenetzky, Mariana López, Fernando Carrari
The volume of information derived from post genomic technologies is rapidly increasing. Due to the amount of involved data, novel computational... Sample PDF
Analysis and Integration of Biological Data: A Data Mining Approach using Neural Networks
Chapter 12
T. T. Wong, Loretta K.W. Sze
Enterprises are now facing growing global competition and the continual success in the marketplace depends very much on how efficient and effective... Sample PDF
A Neuro-Fuzzy Partner Selection System for Business Social Networks
Chapter 13
A. D. Dileep, T. Veena, C. Chandra Sekhar
Sequential data mining involves analysis of sequential patterns of varying length. Sequential pattern analysis is important for pattern discovery... Sample PDF
A Review of Kernel Methods Based Approaches to Classification and Clustering of Sequential Patterns, Part I: Sequences of Continuous Feature Vectors
Chapter 14
Janusz Kacprzyk, Guy de Tré, Slawomir Zadrozny
For an effective and efficient information search of databases, various issues should be solved. A very important one, though still usually... Sample PDF
Remarks on a Fuzzy Approach to Flexible Database Querying, Its Extension and Relation to Data Mining and Summarization
Chapter 15
Kunjal Mankad, Priti Srinivas Sajja
The chapter focuses on Genetic-Fuzzy Rule Based Systems of soft computing in order to deal with uncertainty and imprecision with evolving nature for... Sample PDF
Measuring Human Intelligence by Applying Soft Computing Techniques: A Genetic Fuzzy Approach
Chapter 16
Roberto Marmo
Research on social networks has advanced significantly due to wide variety of on-line social websites and very popular Web 2.0 application. Social... Sample PDF
Web Mining and Social Network Analysis
Chapter 17
Bing He, Bin Xie, Sanjuli Agrawal, David Zhao, Ranga Reddy
With the ever growing demand on high throughput for mobile users, 3G cellular networks are limited in their network capacity for offering high data... Sample PDF
Long-Term Evolution (LTE): Broadband-Enabled Next Generation of Wireless Mobile Cellular Network
Chapter 18
Siddhartha Bhattacharyya, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Soft Computing is a relatively new computing paradigm bestowed with tools and techniques for handling real world problems. The main components of... Sample PDF
Soft Computing and its Applications
Chapter 19
David He, Eric Bechhoefer, Jinghua Ma, Junda Zhu
In this chapter, a particle filtering based gear prognostics method using a one-dimensional health index for spiral bevel gear subject to pitting... Sample PDF
A Particle Filtering Based Approach for Gear Prognostics
Chapter 20
Mukhtar Hashemi, Enda O’Connell
Despite many advances in the field of hydroinformatics, the policy and decision-making world is unable to use these highly technical decision... Sample PDF
Science and Water Policy Interface: An Integrated Methodological Framework for Developing Decision Support Systems (DSSs)
Chapter 21
Gabriella Schoier
The rapid developments in the availability and access to spatially referenced information in a variety of areas, has induced the need for better... Sample PDF
On the MDBSCAN Algorithm in a Spatial Data Mining Context
Chapter 22
Krassimir Markov, Koen Vanhoof, Iliya Mitov, Benoit Depaire, Krassimira Ivanova, Vitalii Velychko, Victor Gladun
The Multi-layer Pyramidal Growing Networks (MPGN) are memory structures based on multidimensional numbered information spaces (Markov, 2004), which... Sample PDF
Intelligent Data Processing Based on Multi-Dimensional Numbered Memory Structures
Chapter 23
Marc Rabaey, Roger Mercken
This chapter introduces the concept of the “Intelligence Base,” developed in a study on the information requirement of the management of an... Sample PDF
Framework of Knowledge and Intelligence Base: From Intelligence to Service
Chapter 24
Ismaïl Biskri, Louis Rompré
In this paper the authors will present research on the combination of two methods of data mining: text classification and maximal association rules.... Sample PDF
Using Association Rules for Query Reformulation
Chapter 25
Edward Hung
There has been a large amount of research work done on mining on relational databases that store data in exact values. However, in many real-life... Sample PDF
A Framework on Data Mining on Uncertain Data with Related Research Issues in Service Industry
Chapter 26
Ji Zhang
A great deal of research attention has been paid to data mining on data streams in recent years. In this chapter, the authors carry out a case study... Sample PDF
A Subspace-Based Analysis Method for Anomaly Detection in Large and High-Dimensional Network Connection Data Streams
Chapter 27
Zaidoun Alzoabi, Faek Diko, Saiid Hanna
BI is playing a major role in achieving competitive advantage in almost every sector of the market, and the higher education sector is no exception.... Sample PDF
Suggested Model for Business Intelligence in Higher Education
Chapter 28
Zhongfei (Mark) Zhang, Zhen Guo, Christos Faloutsos, Jia-Yu Pan
This chapter presents a highly scalable and adaptable co-learning framework on multimodal data mining in a multimedia database. The co-learning... Sample PDF
A Highly Scalable and Adaptable Co-Learning Framework on Multimodal Data Mining in a Multimedia Database
Chapter 29
A.V. Senthil Kumar, Adnan Alrabea, Pedamallu Chandra Sekhar
Over the last couple of years, data mining technology has been successfully employed to various business domains and scientific areas. One of the... Sample PDF
Temporal Association Rule Mining in Large Databases
Chapter 30
Rahime Belen, Tugba Taskaya Temizel
Many manually populated very large databases suffer from data quality problems such as missing, inaccurate data and duplicate entries. A recently... Sample PDF
A Framework to Detect Disguised Missing Data
Chapter 31
Rafael Berlanga, Victoria Nebot
This chapter describes the convergence of two influential technologies in the last decade, namely data mining (DM) and the Semantic Web (SW). The... Sample PDF
XML Mining for Semantic Web
Chapter 32
Yasser Alakhdar, José M. Martínez-Martínez, Josep Guimerà-Tomás, Pablo Escandell-Montero, Josep Benitez, Emilio Soria-Olivas
The basis of all clinical science developments is the analysis of the data obtained from a particular problem. In recent decades, however, the... Sample PDF
Visual Data Mining in Physiotherapy Using Self-Organizing Maps: A New Approximation to the Data Analysis
Chapter 33
Schahram Dustdar, Philipp Leitner, Franco Maria Nardini, Fabrizio Silvestri, Gabriele Tolomei
Service-Oriented Architectures (SOAs), and traditional enterprise systems in general, record a variety of events (e.g., messages being sent and... Sample PDF
Mining Lifecycle Event Logs for Enhancing Service-Based Applications
Chapter 34
Evgeny Kharlamov, Pierre Senellart
This chapter deals with data mining in uncertain XML data models, whose uncertainty typically comes from imprecise automatic processes. We first... Sample PDF
Modeling, Querying, and Mining Uncertain XML Data
Chapter 35
Domen Košir, Zoran Bosnic, Igor Kononenko
Data mining techniques are extensively used on medical data, which is typically composed of many normal examples and few interesting ones. When... Sample PDF
The Use of Prediction Reliability Estimates on Imbalanced Datasets: A Case Study of Wall Shear Stress in the Human Carotid Artery Bifurcation
Chapter 36
Daniel Rivero, Julián Dorado, Juan Rabuñal, Alejandro Pazos
Traditionally, the development of Artificial Neural Networks (ANNs) is a slow process guided by the expert knowledge. This expert usually has to... Sample PDF
Database Analysis with ANNs by means of Graph Evolution
Chapter 37
Céline Robardet
Social network analysis studies relationships between individuals and aims at identifying interesting substructures such as communities. This type... Sample PDF
Data Mining Techniques for Communities’ Detection in Dynamic Social Networks
Chapter 38
T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
Data Mining deals with efficient algorithms for dealing with large data. When such algorithms are combined with data compaction, they would lead to... Sample PDF
Quantization based Sequence Generation and Subsequence Pruning for Data Mining Applications
Chapter 39
James H. Hill
System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response... Sample PDF
Data Mining System Execution Traces to Validate Distributed System Quality-of-Service Properties
Chapter 40
K. Thangavel, R. Roselin
Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. It is... Sample PDF
Mammogram Mining Using Genetic Ant-Miner
Chapter 41
Riccardo Bonazzi, Zhan Liu, Simon Ganière, Yves Pigneur
In this chapter we propose a decision support system for privacy management of context-aware technologies, which requires the alignment of four... Sample PDF
A Dynamic Privacy Manager for Compliance in Pervasive Computing
Chapter 42
Farid Bourennani, Shahryar Rahnamayan
Nowadays, many world-wide universities, research centers, and companies share their own data electronically. Naturally, these data are from... Sample PDF
Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors
Chapter 43
ANGEL Mining  (pages 837-858)
Tyler Swanger, Kaitlyn Whitlock, Anthony Scime, Brendan P. Post
This chapter data mines the usage patterns of the ANGEL Learning Management System (LMS) at a comprehensive college. The data includes counts of all... Sample PDF
ANGEL Mining
Chapter 44
Qin Ding, Gnanasekaran Sundarraj
Finding frequent patterns and association rules in large data has become a very important task in data mining. Various algorithms have been proposed... Sample PDF
Frequent Pattern Discovery and Association Rule Mining of XML Data
Chapter 45
Shazia Kareem, Imran Sarwar Bajwa
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Virtual Telemedicine and Virtual Telehealth: A Natural Language Based Implementation to Address Time Constraint Problem
Chapter 46
Tatiana V. Sambukova
The work is devoted to the decision of two interconnected key problems of Data Mining: discretization of numerical attributes, and inferring pattern... Sample PDF
Machine Learning in Studying the Organism’s Functional State of Clinically Healthy Individuals Depending on Their Immune Reactivity
Chapter 47
Laura Giurca Vasilescu, Marian Siminica, Cerasela Pirvu, Costel Ionascu, Anca Mehedintu
The small and medium enterprises (SMEs) represent the backbone of the economy, playing a major economic and social role in the process of developing... Sample PDF
Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs
Chapter 48
Manish Gupta, Jiawei Han
Sequential pattern mining methods have been found to be applicable in a large number of domains. Sequential data is omnipresent. Sequential pattern... Sample PDF
Applications of Pattern Discovery Using Sequential Data Mining
Chapter 49
Weiqi Wang, Yanbo J. Wang, Qin Xin, René Bañares-Alcántara, Frans Coenen, Zhanfeng Cui
Discovering how Mesenchymal Stem Cells (MSCs) can be differentiated is an important topic in stem cell therapy and tissue engineering. In a general... Sample PDF
A Comparative Study of Associative Classifiers in Mesenchymal Stem Cell Differentiation Analysis
Chapter 50
Shah J. Miah
Computational Intelligence (CI) has become a well-established research field of computer science in which multi-disciplinary problems are studied to... Sample PDF
Cloud-Based Intelligent DSS Design for Emergency Professionals
Chapter 51
Dario Antonelli, Elena Baralis, Giulia Bruno, Silvia Chiusano, Naeem A. Mahoto, Caterina Petrigni
With the introduction of electronic medical records, a large amount of patients’ medical data has been available. An actual problem in this domain... Sample PDF
Extraction of Medical Pathways from Electronic Patient Records
Chapter 52
Pratibha Rani, Vikram Pudi
The rapid progress of computational biology, biotechnology, and bioinformatics in the last two decades has led to the accumulation of tremendous... Sample PDF
Classification of Biological Sequences
Chapter 53
Matjaž Kukar, Igor Kononenko, Ciril Grošelj
The authors present results and the latest advancement in their long-term study on using image processing and data mining methods in medical image... Sample PDF
Automated Diagnostics of Coronary Artery Disease: Long-term Results and Recent Advancements
Chapter 54
Jose M. Alonso, Ciro Castiello, Marco Lucarelli, Corrado Mencar
Decision support systems in Medicine must be easily comprehensible, both for physicians and patients. In this chapter, the authors describe how the... Sample PDF
Modeling Interpretable Fuzzy Rule-Based Classifiers for Medical Decision Support
Chapter 55
Suzanne Bakken, Robert Lucero, Sunmoo Yoon, Nicholas Hardiker
A sound informatics infrastructure is essential to optimise the application of evidence in nursing practice. A comprehensive review of the... Sample PDF
Implications for Nursing Research and Generation of Evidence
Chapter 56
Jianhua Yao, Ronald M. Summers
The growing repositories of clinical imaging data generate a need for effective image management and access that demands more than simple text-based... Sample PDF
Content-Based Image Retrieval for Medical Image Analysis
Chapter 57
R. R. Janghel, Anupam Shukla, Ritu Tiwari
In the present work an attempt is made to develop an intelligent Decision support system (IDSS) using the pathological attributes to predict the... Sample PDF
Intelligent Decision Support System for Fetal Delivery using Soft Computing Techniques
Chapter 58
Patricio A. Manque, Ute Woehlbier
Vaccines represent one of the most cost-effective ways to prevent and treat diseases. The use of vaccines in the control of viral diseases... Sample PDF
Systems Biology-Based Approaches Applied to Vaccine Development
Chapter 59
Tri Wijaya
This chapter will discuss a very useful technique to get (or to mine) a hidden information or knowledge which is lie in our data namely, data... Sample PDF
From Data to Knowledge: Data Mining
Chapter 60
Carlos Alberto Ochoa Ortiz Zezzatti, Darwin Young, Camelia Chira, Daniel Azpeitia, Alán Calvillo
Evolve computing is a generic name given to the resolution of computational problems with base in models of an evolutionary process. Most of the... Sample PDF
Mass Media Strategies: Hybrid Approach using a Bioinspired Algorithm and Social Data Mining
Chapter 61
Martin Atzmueller, Stephanie Beer, Frank Puppe
For large-scale data mining, utilizing data from ubiquitous and mixed-structured data sources, the extraction and integration into a comprehensive... Sample PDF
Data Mining, Validation, and Collaborative Knowledge Capture
Chapter 62
Alpay Erdem, Ihsan Tolga Medeni, Tunç D. Medeni
As there has not yet been enough work on enterprise architectures for fully integrated knowledge-based, highly-sophisticated (citizen-oriented)... Sample PDF
Enterprise Architecture for Personalization of e-Government Services: Reflections from Turkey
Chapter 63
Luca Cagliero, Alessandro Fiori
This chapter presents an overview of social network features such as user behavior, social models, and user-generated content to highlight the most... Sample PDF
Knowledge Discovery from Online Communities
Chapter 64
Zhaohao Sun, Ping Zhang, Dong Dong
Web services play an important role in successful business integration and other application fields such as e-commerce and e-business. Customer... Sample PDF
Customer Decision Making in Web Services
Chapter 65
M. Hemalatha
Data mining allows managers to make more knowledgeable decisions by predicting future trends and behaviors. One of the most widely used areas of... Sample PDF
A Predictive Modeling of Retail Satisfaction: A Data Mining Approach to Retail Service Industry
Chapter 66
Marta E. Zorrilla, Diego García
In this chapter we present a BI application delivered as a service on-demand. In particular, it is a data mining service that aims to help... Sample PDF
A Data Mining Service to Assist Instructors Involved in Virtual Education
Chapter 67
Marco Scarnò
CASPUR allows many academic Italian institutions located in the Centre-South of Italy to access more than 7 million articles through a digital... Sample PDF
User’s Behaviour inside a Digital Library
Chapter 68
Jun Yan, Dou Shen, Teresa Mah, Ning Liu, Zheng Chen, Ying Li
With the rapid growth of the online advertising market, Behavioral Targeting (BT), which delivers advertisements to users based on understanding of... Sample PDF
Behavioral Targeting Online Advertising
Chapter 69
Tobias Kowatsch, Wolfgang Maass
Purchase decision-making is influenced by product information available in online or in-store shopping environments. In online shopping... Sample PDF
Mobile Purchase Decision Support Systems for In-Store Shopping Environments
Chapter 70
Shalin Hai-Jew
Online learning—whether it is human-facilitated or automated, hybrid/blended, asynchronopus or synchronous or mixed--often relies on learning/course... Sample PDF
Structuring and Facilitating Online Learning through Learning/Course Management Systems
Chapter 71
Paulo Garrido
This chapter proposes concepts for designing and developing decision support systems that acknowledge, explore and exploit the fact that... Sample PDF
Conversation-Oriented Decision Support Systems for Organizations
Chapter 72
Yasuhiro Yamada, Kanji Kato, Sachio Hirokawa
Interviews and questionnaires are the basis for collecting information about the opinions, concerns and needs of people. Analysis of those texts is... Sample PDF
Text Mining for Analysis of Interviews and Questionnaires
Chapter 73
Kathy J. Liszka, Chien-Chung Chan, Chandra Shekar
Microblogs are one of a growing group of social network tools. Twitter is, at present, one of the most popular forums for microblogging in online... Sample PDF
Detecting Pharmaceutical Spam in Microblog Messages
Chapter 74
Fadila Bentayeb, Nora Maïz, Hadj Mahboubi, Cécile Favre, Sabine Loudcher, Nouria Harbi, Omar Boussaïd, Jérôme Darmont
Research in data warehousing and OLAP has produced important technologies for the design, management, and use of Information Systems for decision... Sample PDF
Innovative Approaches for Efficiently Warehousing Complex Data from the Web
Chapter 75
Wei-Shuo Lo, Tzung-Pei Hong
The fashion industry is experiencing rapid changes in many areas, including the supply chain. Typical quick response (QR) systems have been broadly... Sample PDF
A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains
Chapter 76
Anne-Marie Scheepers-Hoeks, Floor Klijn, Carolien van der Linden, Rene Grouls, Eric Ackerman, Niels Minderman, Jan Bergmans, Erik Korsten
Medical guidelines and best practises are used in medicine to increase the quality of the health-care delivery system. To support implementation and... Sample PDF
Clinical Decision Support Systems for ‘Making It Easy to Do It Right’
Chapter 77
Rosaria Lombardo
By the early 1990s, the term “data mining” had come to mean the process of finding information in large data sets. In the framework of the Total... Sample PDF
Data Mining and Explorative Multivariate Data Analysis for Customer Satisfaction Study
Chapter 78
Siani Pearson, Tomas Sander
Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or... Sample PDF
A Decision Support System for Privacy Compliance
Chapter 79
Asem Omari
Selling products or services online plays an important role in the success of businesses that have a physical presence, like a retail business. For... Sample PDF
Supporting Companies Management and Improving their Productivity through Mining Customers Transactions
Chapter 80
M. Govindarajan, RM. Chandrasekaran
Data Mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in database process. It is often... Sample PDF
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
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Ori Gudes, Elizabeth Kendall, Tan Yigitcanlar, Jung Hoon Han, Virendra Pathak
This chapter investigates the challenges and opportunities associated with planning for a competitive city. The chapter is based on the assumption... Sample PDF
Developing a Competitive City through Healthy Decision-Making
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Nermin Ozgulbas, Ali Serhan Koyuncugil
Risk management has become a vital topic for all enterprises especially in financial crisis periods. All enterprises need systems to warn against... Sample PDF
Financial Early Warning System for Risk Detection and Prevention from Financial Crisis
Chapter 83
Ibrahiem Mahmoud Mohamed El Emary
This chapter is interested in discussing how to use data mining techniques to assist in achieving an acceptable level of quality of service of... Sample PDF
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Chapter 84
Rubén Jaramillo Vacio, Carlos Alberto Ochoa Ortiz Zezzatti, Armando Rios
This chapter describes the experimental study partial discharges (PD) activities with artificial intelligent tools. The results present different... Sample PDF
Data Mining Applications in the Electrical Industry
Chapter 85
Luciana Romani, Elaine de Sousa, Marcela Ribeiro, Ana de Ávila, Jurandir Zullo, Caetano Traina, Agma Traina
This chapter discusses how to take advantage of computational models to analyze and extract useful information from time series of climate data and... Sample PDF
Mining Climate and Remote Sensing Time Series to Improve Monitoring of Sugar Cane Fields
Chapter 86
Anass El Haddadi, Bernard Dousset, Ilham Berrada
Competitive intelligence activities rely on collecting and analyzing data in order to discover patterns from data using sequence data mining. The... Sample PDF
Discovering Patterns in Order to Detect Weak Signals and Define New Strategies
Chapter 87
Mieke Jans, Nadine Lybaert, Koen Vanhoof
Economic crime is a billion dollar business and is substantially present in our current society. Both researchers and practitioners have gone into... Sample PDF
Data Mining and Economic Crime Risk Management
Chapter 88
Sociocognitive Inquiry  (pages 1688-1708)
Brian R. Gaines, Mildred L. G. Shaw
This chapter describes techniques for sociocognitive inquiry based on conceptual grid elicitation and analysis using web-based tools, such as... Sample PDF
Sociocognitive Inquiry
Chapter 89
Yassine Lassoued, Trung T. Pham, Luis Bermudez, Karen Stocks, Eoin O’Grady, Anthony Isenor, Paul Alexander
This chapter defines the coastal web atlases interoperability problem, introduces interoperability standards, and describes the development of a... Sample PDF
Coastal Atlas Interoperability
Chapter 90
D. A. Nembhard, K. K. Yip, C. A. Stifter
Developmental psychology is the scientific study of progressive psychological changes that occur in human beings as they age. Some of the current... Sample PDF
Association Rule Mining in Developmental Psychology
Chapter 91
Jawahitha Sarabdeen
E-healthcare systems through electronic medical records (EMRs), electronic prescribing and decision support systems endeavour to reduce the cost and... Sample PDF
Legal Issues in E-Healthcare Systems
Chapter 92
Diane A. Desierto
This paper describes Bayan Muna et al. v. Mendoza et al., a 2009 Philippine Supreme Court petition involving the first and ongoing certiorari... Sample PDF
Privacy Expectations in Passive RFID Tagging of Motor Vehicles: Bayan Muna et al. v. Mendoza et al. in the Philippine Supreme Court
Chapter 93
William H. Horsthemke, Daniela S. Raicu, Jacob D. Furst, Samuel G. Armato
Evaluating the success of computer-aided decision support systems depends upon a reliable reference standard, a ground truth. The ideal gold... Sample PDF
Evaluation Challenges for Computer-Aided Diagnostic Characterization: Shape Disagreements in the Lung Image Database Consortium Pulmonary Nodule Dataset
Chapter 94
Alan Olinsky, Phyllis A. Schumacher, John Quinn
One way to enhance the likelihood that more students will graduate within the specific major that they begin with is to attract the type of students... Sample PDF
Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate
Chapter 95
Manish Gupta, Jiawei Han
In this chapter we first introduce sequence data. We then discuss different approaches for mining of patterns from sequence data, studied in... Sample PDF
Approaches for Pattern Discovery Using Sequential Data Mining
Chapter 96
Human-Centred Web Search  (pages 1852-1872)
Orland Hoeber
People commonly experience difficulties when searching the Web, arising from an incomplete knowledge regarding their information needs, an inability... Sample PDF
Human-Centred Web Search
Chapter 97
Ana Azevedo, Manuel Filipe Santos
Business Intelligence (BI) is an emergent area of the Decision Support Systems (DSS) discipline. Over the past years, the evolution in this area has... Sample PDF
A Perspective on Data Mining Integration with Business Intelligence
Chapter 98
David Manset
In recent times, innovative new e-Infrastructures have materialized all around the globe to address the compelling and unavoidably increasing demand... Sample PDF
Gridifying Neuroscientific Pipelines: A SOA Recipe and Experience from the neuGRID Project
Chapter 99
Mingming Zhou, Yabo Xu
A wealth of research has shown that meta-cognition plays a crucial role in the promotion of effective school learning. In most of the e-learning... Sample PDF
Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners
Chapter 100
Fernando Alonso, Loïc Martínez, Aurora Pérez, Juan Pedro Valente
Although expert elicited knowledge and data mining discovered knowledge appear to be completely opposite and competing solutions to the same... Sample PDF
Cooperation between Expert Knowledge and Data Mining Discovered Knowledge
Chapter 101
Aysegul Cayci, João Bártolo Gomes, Andrea Zanda, Ernestina Menasalvas, Santiago Eibe
Advances in wireless, sensor, mobile and wearable technologies present new challenges for data mining research on providing mobile applications with... Sample PDF
Research Challenge of Locally Computed Ubiquitous Data Mining1
Chapter 102
Klaus Wölfel, Jean-Paul Smets
Free/Open Source software (FOSS) has made Enterprise Resource Planning (ERP) systems more accessible for Small and Medium Enterprises (SMEs)... Sample PDF
Tailoring FOS-ERP Packages: Automation as an Opportunity for Small Businesses
Chapter 103
José Nava, Paula Hernández
Data mining is a complex process that involves the interaction of the application of human knowledge and skills and technology. This must be... Sample PDF
Optimization of a Hybrid Methodology (CRISP-DM)
Chapter 104
Leticia Gómez, Bart Kuijpers, Bart Moelans, Alejandro Vaisman
Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic... Sample PDF
A State-of-the-Art in Spatio-Temporal Data Warehousing, OLAP and Mining
Chapter 105
Zalizah Awang Long, Abdul Razak Hamdan, Azuraliza Abu Bakar, Mazrura Sahani
Today, the objective of public health surveillance system is to reduce the impact of outbreaks by enabling appropriate intervention. Commonly used... Sample PDF
Pattern Mining for Outbreak Discovery Preparedness
Chapter 106
Stefan Bernhard, Kristine Al Zoukra, Christof Schtte
The past two decades have seen impressive success in medical technology, generating novel experimental data at an unexpected rate. However, current... Sample PDF
From Non-Invasive Hemodynamic Measurements towards Patient-Specific Cardiovascular Diagnosis
Chapter 107
Marcos Visoli, Sandro Bimonte, Sônia Ternes, François Pinet, Jean-Pierre Chanet
Animal traceability is a very important question for several government and private institutions from many points of view: economical, sanitary... Sample PDF
Towards Spatial Decision Support System for Animals Traceability
Chapter 108
May Yuan, James Bothwell
The so-called Big Data Challenge poses not only issues with massive volumes of data, but issues with the continuing data streams from multiple... Sample PDF
Space-Time Analytics for Spatial Dynamics
Chapter 109
Chara Ch. Mitropoulou, Vagelis Plevris, Nikos D. Lagaros
Optimization is a field where extensive research has been conducted over the last decades. Many types of problems have been addressed, and many... Sample PDF
Metaheuristic Optimization in Seismic Structural Design and Inspection Scheduling of Buildings
Chapter 110
Erkan Polat
Nowadays, analysis of land-use suitability requires consideration of variety of criteria including not only natural/physical capacity of a land unit... Sample PDF
An Approach for Land-Use Suitability Assessment Using Decision Support Systems, AHP and GIS
Chapter 111
Chengqing Yuan, Xinping Yan, Zhixiong Li, Yuelei Zhang, Chenxing Sheng, Jiangbin Zhao
Marine power machinery parts are key equipments in ships. Ships always work in rigorous conditions such as offshore, heavy load, et cetera.... Sample PDF
Remote Fault Diagnosis System for Marine Power Machinery System
Chapter 112
Ibrahim George, Manolya Kavakli
In this chapter, the authors explore the operational data related to transactions in a financial organisation to find out the suitable techniques to... Sample PDF
Data Mining in the Investigation of Money Laundering and Terrorist Financing
Chapter 113
Abdelmalek Amine, Zakaria Elberrichi, Michel Simonet, Ali Rahmouni
The “Molecular Similarity Principle” states that structurally similar molecules tend to have similar properties—physicochemical and biological. The... Sample PDF
A Hybrid Approach Based on Self-Organizing Neural Networks and the K-Nearest Neighbors Method to Study Molecular Similarity
Chapter 114
Ali Serhan Koyuncugil, Nermin Ozgulbas
After last global financial crisis, one of the most important concerns of the governments became unemployment. Higher unemployment rates haves been... Sample PDF
Social Aid Fraud Detection System and Poverty Map Model Suggestion Based on Data Mining for Social Risk Mitigation
Chapter 115
Murat Acar, Dilek Karahoca, Adem Karahoca
This chapter focuses on building a financial early warning system (EWS) to predict stock market crashes by using stock market volatility and rising... Sample PDF
Designing an Early Warning System for Stock Market Crashes by Using ANFIS
Chapter 116
Georgios Patris, Vassilios Vescoukis, Maria Giaoutzi
The present chapter focuses on the Location Based Context-aware Mobile Services (LBCAMS) in the context of the most recent technological advances in... Sample PDF
Advances of the Location Based Context-Aware Mobile Services in the Transport Sector