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Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection

Yun Sing Koh, Nathan Rountree

ISBN13: 9781605667546|ISBN10: 1605667544|EISBN13: 9781605667553|ISBN13 Softcover: 9781616924508

DOI: 10.4018/978-1-60566-754-6

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MLA

Koh, Yun Sing, and Nathan Rountree, editors. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection. IGI Global, 2010. https://doi.org/10.4018/978-1-60566-754-6

APA

Koh, Y. & Rountree, N. (Eds.). (2010). Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection. IGI Global. https://doi.org/10.4018/978-1-60566-754-6

Chicago

Koh, Yun Sing, and Nathan Rountree, eds. Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-754-6

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The growing complexity and volume of modern databases make it increasingly important for researchers and practitioners involved with association rule mining to make sense of the information they contain.

Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining. Covering a comprehensive range of topics, this book discusses underlying frameworks, mining techniques, interest metrics, and real-world application domains within the field.

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