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BestsellerE-book
Author Knobbe, Arno J.

Title Multi-relational data mining / Arno J. Knobbe.

Publication Info. Amsterdam ; Washington D.C. : Ios Press, [2006]
©2006
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Online eBook. Access restricted to current Rider University students, faculty, and staff.
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Description 1 online resource (x, 118 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Frontiers in artificial intelligence and applications ; v. 145
Dissertations in artificial intelligence
Frontiers in artificial intelligence and applications ; v. 145.
Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence.
Bibliography Includes bibliographical references (pages 109-113) and index.
Contents Title page; Contents; Acknowledgements; Introduction; Structured Data Mining; Multi-Relational Data; Multi-Relational Patterns; Multi-Relational Rule Discovery; Multi-Relational Decision Tree Induction; Aggregate Functions; Aggregate Functions & Propositionalisation; Aggregate Functions & Rule Discovery; MRDM Primitives; MRDM in Action; Conclusion; Appendix A: MRML; Bibliography; Index.
Summary With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Data mining.
Data mining.
Relational databases.
Relational databases.
Genre/Form Electronic books.
Added Author IOS Press.
Other Form: Print version: Knobbe, Arno J. Multi-relational data mining. Amsterdam ; Washington D.C. : Ios Press, ©2006 9781586036614 1586036610 (DLC) 2006931539 (OCoLC)76910529
ISBN 9781607501985
1607501988
1429419032 (electronic book)
9781429419031 (electronic book)
9781601295095 (electronic book)
160129509X (electronic book)

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