International Journal of Data Warehousing and Mining (IJDWM)
International Journal of Data Warehousing and Mining (IJDWM) 0.786 Impact Factor

International Journal of Data Warehousing and Mining (IJDWM)

Indexed by Thomson Reuters, Scopus, EI Compendex, DBLP... (more)
Editor-in-Chief: David Taniar (Monash University, Australia)
Published Quarterly. Est. 2005.
ISSN: 1548-3924|EISSN: 1548-3932|DOI: 10.4018/IJDWM
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Description

The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving data.

Topics Covered

  • Algorithms
  • Applications issues
  • Data mart
  • Data Mining
  • Data mining methods
  • Data models
  • Data structures
  • Data warehousing
  • Data warehousing process
  • Design
  • Knowledge discovery process
  • Mining databases
  • Online analytical process
  • Practical issues
  • Tools and languages

Mission

The International Journal of Data Warehousing and Mining (IJDWM) aims to publish and disseminate knowledge on an international basis in the areas of data warehousing and data mining. It is published multiple times a year, with the purpose of providing a forum for state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining. In contrast to other journals, this journal focuses on the integration between the fields of data warehousing and data mining, with emphasize on the applicability to real world problems. The journal is targeted at both academic researchers and practicing IT professionals.

Table of Contents and List of Contributors

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Volume 12: 4 Issues (2016): 2 Released, 2 Forthcoming
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
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Indices

ACM Digital LibraryACM Digital Library
Australian Business Deans Council (ABDC)Australian Business Deans Council (ABDC)
Bacon's Media Directory
Burrelle's Media Directory
Cabell's DirectoriesCabell's Directories
Compendex (Elsevier Engineering Index)Compendex (Elsevier Engineering Index)
CSA Illumina
Current Contents®/Engineering, Computing, & Technology
DBLPDBLP
DEST Register of Refereed Journals
Gale Directory of Publications & Broadcast Media
GetCited
Google ScholarGoogle Scholar
INSPECINSPEC
Journal Citation Reports/Science Edition
JournalTOCsJournalTOCs
Library & Information Science Abstracts (LISA)
MediaFinderMediaFinder
Science Citation Index Expanded (SciSearch®)
SCOPUSSCOPUS
The Index of Information Systems Journals
The Standard Periodical Directory
Thomson ReutersThomson Reuters
Ulrich's Periodicals Directory
Web of Science

Editor(s)-in-Chief Biography

David Taniar received his PhD in Databases from Victoria University (Australia, 1997) and is now a Senior Lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the Web technology series. He is on the editorial board of a number of international journals, including Data Warehousing and Mining, Business Intelligence and Data Mining, Mobile Information Systems, Mobile Multimedia, Web Information Systems, and Web and Grid Services. He has been elected as a Fellow of the Institute for Management of Information Systems (UK).

Editorial Board

Associate Editors
Frank Dehne, Carleton University, Canada
Ada Wai Chee Fu, Chinese University of Hong Kong, Hong Kong
Feng Ling, Tsinghua University, China
Graeme Shanks, Monash University Clayton Campus, Australia
Chengqi Zhang, University of Technology, Australia
Editorial Review Board
Sourav Bhowmick, Nanyang Technological University, Singapore
Sandro Bimonte, IRSTEA, France
Gillian Dobbie, University of Auckland, New Zealand
Vladimir Estivill-Castro, Griffith University, Australia
Christie I. Ezeife, University of Windsor, Canada
Alex Freitas, University of Kent, United Kingdom
A. Hameurlain, IRIT - Paul Sabatier University, France
Xiaohua Hu, Drexel University, United States
Clement. H. C Leung, Hong Kong Baptist University, Hong Kong
Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece
Torben Bach Pedersen, Aalborg University, Denmark
Jian Pei, Simon Fraser University, China
Gerd Stumme, University of Kassel, Germany
Chih Tan, OptimaNumerics Ltd, United Kingdom
Yannis Theodoridis, University of Piraeus, Greece
Juan Trujillo, University of Alicante, Spain
Marek Wojciechowski, Poznan University of Technology, Poland
Shichao Zhang, University of Technology, Sydney, Australia
Zhi-Hua Zhou, Nanjing University, China