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International Journal of Data Warehousing and Mining (IJDWM)

Editor(s)-in-Chief: Eric Pardede (La Trobe University, Australia)and Kiki Adhinugraha (La Trobe University, Australia)
Published: Continuous Volume
Copyright: ©2005
DOI: 10.4018/IJDWM
ISSN: 1548-3924
EISSN: 1548-3932

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Description

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.

Volume 20, Issue 1

Volume 19, Issue 6

Volume 19, Issue 5

Volume 19, Issue 4

Volume 19, Issue 3

Volume 19, Issue 2

Volume 19, Issue 1

Volume 18, Issue 2

Volume 18, Issue 1

Volume 17, Issue 4

Volume 17, Issue 3

Volume 17, Issue 2

Volume 17, Issue 1

Volume 16, Issue 4

Volume 16, Issue 3

Volume 16, Issue 2

Volume 16, Issue 1

Volume 15, Issue 4

Volume 15, Issue 3

Volume 15, Issue 2

Volume 15, Issue 1

Volume 14, Issue 4

Volume 14, Issue 3

Volume 14, Issue 2

Volume 14, Issue 1

Volume 13, Issue 4

Volume 13, Issue 3

Volume 13, Issue 2

Volume 13, Issue 1

Volume 12, Issue 4

Volume 12, Issue 3

Volume 12, Issue 2

Volume 12, Issue 1

Volume 11, Issue 4

Volume 11, Issue 3

Volume 11, Issue 2

Volume 11, Issue 1

Volume 10, Issue 4

Volume 10, Issue 3

Volume 10, Issue 2

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Volume 9, Issue 3

Volume 9, Issue 2

Volume 9, Issue 1

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Volume 8, Issue 2

Volume 8, Issue 1

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Volume 7, Issue 2

Volume 7, Issue 1

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Volume 6, Issue 1

Volume 5, Issue 4

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Volume 5, Issue 2

Volume 5, Issue 1

Volume 4, Issue 4

Volume 4, Issue 3

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Volume 4, Issue 1

Volume 3, Issue 4

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Volume 3, Issue 1

Volume 2, Issue 4

Volume 2, Issue 3

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Volume 1, Issue 4

Volume 1, Issue 3

Volume 1, Issue 2

Volume 1, Issue 1

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Mission

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 continuous 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 submissions 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.