International Journal of Data Warehousing and Mining (IJDWM)

International Journal of Data Warehousing and Mining (IJDWM)

Editor-in-Chief: David Taniar (Monash University, Australia)
Indexed In: Web of Science Science Citation Index Expanded (SCIE), SCOPUS, Compendex (Elsevier Engineering Index), INSPEC and 19 more indices
Published: Quarterly |Established: 2005
ISSN: 1548-3924|EISSN: 1548-3932|DOI: 10.4018/IJDWM


The International Journal of Data Warehousing and Mining (IJDWM) a featured IGI Global Core Journal Title, disseminates the latest international research findings in the areas of data management and analyzation. This journal is a forum for state-of-the-art developments, research, and current innovative activities focusing on the integration between the fields of data warehousing and data mining. Featured in prestigious indices including Web of Science® Citation Index Expanded®, Scopus®, Compendex®, INSPEC®, and more, this scholarly journal is led by a leading IGI Global editor and contains research from a growing list of more than 1,500+ industry-leading contributors. This journal is an ideal resource for academic researchers and practicing IT professionals looking for double-blind peer-reviewed articles that provide solutions to ongoing challenges, and new developments within this field.

Topics Covered

  • Big Data Processing
  • Business Intelligence
  • Data Cleaning, Preparation, and Transformation
  • Data Lake
  • Data Linkage and Fusion
  • Data Mart
  • Data Mining Algorithms
  • Data Mining Technologies and Tools
  • Data Warehouse Modeling
  • Efficient Data Search
  • Emerging Applications of Data Mining
  • Emerging Domains of Data Warehousing
  • Mining Big Data
  • Online Analytical Processing
  • Tools and Languages

Mission and Scope

The International Journal of Data Warehousing and Mining (IJDWM) aims to publish and deliver knowledge in the areas of data warehousing and data mining on an international basis. This journal is published on a quarterly basis and is targeted at both academic researchers and practicing IT professionals as it 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 publication. The journal accepts paper submission of any work relevant to data warehousing and data mining with special attention to papers focusing on mining of data from data warehouses, integration of databases, data warehousing, data mining, and holistic approaches to mining and archiving data.

Table of Contents and List of Contributors

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Open Access Articles
Volume 17: 4 Issues (2021): Forthcoming, Available for Pre-Order
Volume 16: 4 Issues (2020): 3 Released, 1 Forthcoming
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
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)
View Complete Journal Contents Listing

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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
Ada Wai Chee Fu, Chinese University of Hong Kong, Hong Kong
Chengqi Zhang, University of Technology, Australia
Feng Ling, Tsinghua University, China
Frank Dehne, Carleton University, Canada
Graeme Shanks, Monash University Clayton Campus, Australia
Editorial Review Board
Abdelkader Hameurlain, IRIT - Paul Sabatier University, France
Chih Tan, OptimaNumerics Ltd, United Kingdom
Christie I. Ezeife, University of Windsor, Canada
Clement. H. C Leung, Hong Kong Baptist University, Hong Kong
Gerd Stumme, University of Kassel, Germany
Gillian Dobbie, University of Auckland, New Zealand
Jian Pei, Simon Fraser University, China
Jinfei Liu, Georgia Institute of Technology/Emory University ORCID
Juan Trujillo, University of Alicante, Spain
Le Hoang Son, Vietnam National University, Viet Nam ORCID
Marek Wojciechowski, Poznan University of Technology, Poland
Ming Li, Nanjing University, China
Sandro Bimonte, National Research Institute of Science and Technology for Environment and Agriculture, France
Shichao Zhang, University of Technology, Sydney, Australia
Sourav Bhowmick, Nanyang Technological University, Singapore
Torben Bach Pedersen, Aalborg University, Denmark
Vladimir Estivill-Castro, Griffith University, Australia
Xiaohua Hu, Drexel University, United States
Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece
Yannis Theodoridis, University of Piraeus, Greece


Prospective authors should note that only original and previously unpublished article manuscripts will be considered. Interested authors must consult the Journal Guidelines for Manuscript Submission at PRIOR to submission. Any further questions may be answered at All article manuscript submissions will be forwarded to at least three members of the editorial review board of the journal for a double-blind peer review. The final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers.

All inquiries should be directed to the attention of:

All inquiries regarding IJDWM should be directed to the attention of:

David Taniar
International Journal of Data Warehousing and Mining
Clayton School of Information Technology
Monash University
Clayton, Victoria, 3800, Australia

All manuscript submissions to IJDWM should be sent through the online submission system:


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