Data mining and data warehousing : June, Teck Ho

By: June, Ho TeckMaterial type: TextTextPublisher: Singapore : Prentice Hall c2005Description: viii, 270 pages ; illustrations ; 29 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9812449639 [paperback]Subject(s): Data mining | Data warehousingDDC classification: Other classification: 005.74 J95 2005
Contents:
Contents: Chapter 1 Data mining concepts -- Chapter 2 Explore data -- Chapter 3 Market basket analysis -- Chapter 4 Cluster analysis -- Chapter 5 Decision tress -- Chapter 6 Neural networks -- Chapter 7 Build effective predictive models -- Chapter 8 Data mining process -- Chapter 9 Data warehousing concepts -- Chapter 10 Design a data warehouse system -- Chapter 11 Practical worksheets -- Chapter 12 Revision
Summary: "This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.
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Item type Current location Call number Status Date due Barcode
Book Book College Library
005.74 J95 2005 (Browse shelf) Available 3UCBL000003348

Includes bibliographical references and index

Contents: Chapter 1 Data mining concepts -- Chapter 2 Explore data -- Chapter 3 Market basket analysis -- Chapter 4 Cluster analysis -- Chapter 5 Decision tress -- Chapter 6 Neural networks -- Chapter 7 Build effective predictive models -- Chapter 8 Data mining process -- Chapter 9 Data warehousing concepts -- Chapter 10 Design a data warehouse system -- Chapter 11 Practical worksheets -- Chapter 12 Revision

"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.

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