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Introduction to the special issue on successful real-world data mining applications

Published: 01 June 2006 Publication History

Abstract

Since its inception, the field of Data Mining and Knowledge Discovery from Databases has been driven by the need to solve practical problems [4]. From scaling to large databases and handling noisy and high-dimensional data to finding associational patterns in grocery store transaction data, data mining is a research area rich in application [1]. Despite its practical roots few case studies of data mining applications have been published. The industrial track of the annual SIGKDD conference has provided one such forum, but rarely do these papers present complete descriptions of deployed systems [2]. This special issue attempts to address the gap by showcasing the choices, strategies, and lessons learned from building a real-world data mining application. In a sense this collection is a follow-up to the first workshop on data mining case studies held during ICDM-2006 [3]. This issue however introduces several new papers. Of the 29 papers reviewed 10 papers were accepted. The papers come from a broad range of application areas including Customer Relationship Management, Medicine, Taxation, and Software Development.

References

[1]
U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy. editors. Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996
[2]
R. L. Grossman, R. Bayardo, K. Bennet, and J. Vaidya, editors, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005), ACM Press, New York, 2005, ISBN 1-59593-135-X.
[3]
B. Kitts, G. Melli and K. Rexer, editors, Proceedings of the First Workshop on Data Mining Case Studies collocated with International Conference on Data Mining (ICDM), 2005.
[4]
G. Piatetsky-Shapiro, and W. Frawley. editors., Knowledge Discovery in Databases, AAAI/MIT Press, 1991

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Published In

cover image ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter  Volume 8, Issue 1
June 2006
104 pages
ISSN:1931-0145
EISSN:1931-0153
DOI:10.1145/1147234
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2006
Published in SIGKDD Volume 8, Issue 1

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  • (2015)An effective approach to mine rare items using Maximum Constraint2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO)10.1109/ISCO.2015.7282234(1-6)Online publication date: Jan-2015
  • (2015)Mining Interesting Rare Items with Maximum Constraint Model Based on Tree Structure2015 Fifth International Conference on Communication Systems and Network Technologies10.1109/CSNT.2015.190(1065-1070)Online publication date: Apr-2015
  • (2013)A data analytics case study assessing factors affecting pavement deflection valuesInternational Journal of Business Intelligence and Data Mining10.1504/IJBIDM.2013.0590248:3(199-226)Online publication date: 1-Feb-2013
  • (2012)A data analytics application assessing pavement deflection factors for a road networkProceedings of the 14th International Conference on Information Integration and Web-based Applications & Services10.1145/2428736.2428775(247-255)Online publication date: 3-Dec-2012
  • (2010)Towards the Generic Framework for Utility Considerations in Data Mining ResearchProceedings of the 2010 conference on Data Mining for Business Applications10.5555/1893248.1893254(49-65)Online publication date: 7-Aug-2010
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