Discovering knowledge in data : an introduction to data mining / Daniel T. Larose, Chantal D. Larose.
By: Larose, Daniel T
Contributor(s): Larose, Chantal D
Language: English Series: Wiley series on methods and applications in data miningPublisher: Hoboken : Wiley, [2014]Edition: Second editionDescription: xviii, 316 pages ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780470908747 (hardback)Subject(s): Data mining | COMPUTERS / Database Management / Data Warehousing | COMPUTERS / Database Management / Data MiningAdditional physical formats: Online version:: Discovering knowledge in dataDDC classification: 006.3/12 LOC classification: QA76.9.D343 | L38 2014Other classification: COM021040 | COM021030 Summary: "This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"-- Provided by publisher.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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BOOK
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COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 006.312 L327 2014 (Browse shelf) | Available | CITU-CL-46705 |
Includes index.
"This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"-- Provided by publisher.
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