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Multi-relational data mining [electronic resource] / Arno J. Knobbe.

By: Knobbe, Arno J.
Contributor(s): IOS Press.
Material type: TextTextSeries: Frontiers in artificial intelligence and applications: v. 145.; Frontiers in artificial intelligence and applicationsDissertations in artificial intelligence: Publisher: Amsterdam ; Washington D.C. : Ios Press, c2006Description: 1 online resource (x, 118 p.) : ill.ISBN: 9781607501985; 1607501988; 1429419032 (electronic bk.); 9781429419031 (electronic bk.).Subject(s): Data mining | Relational databases | COMPUTERS -- Desktop Applications -- Databases | COMPUTERS -- Database Management -- General | COMPUTERS -- System Administration -- Storage & RetrievalGenre/Form: Electronic books.Additional physical formats: Print version:: Multi-relational data mining.DDC classification: 005.74 Online resources: EBSCOhost
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.
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Includes bibliographical references (p. [109]-113) and index.

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.

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.

Description based on print version record.

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Multi-relational data mining by Knobbe, Arno J. ©2006
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