Discovering knowledge in data : an introduction to data mining / Daniel T. Larose and Chantal D. Larose.
By: Larose, Daniel T.
Contributor(s): Larose, Chantal D.
Material type:
BookSeries: Wiley series on methods and applications in data mining: Publisher: Hoboken : Wiley, 2014Edition: Second edition.Description: 1 online resource (xviii, 316 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781118873571; 1118873572; 9781118873588; 1118873580; 9781118874059; 1118874056.Subject(s): Data mining | COMPUTERS -- Database Management -- Data Warehousing | COMPUTERS -- Database Management -- Data Mining | Data mining | Data MiningGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Discovering knowledge in data.DDC classification: 006.3/12 Other classification: COM021040 | COM021030 Online resources: Wiley Online Library 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.
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.
Print version record and CIP data provided by publisher.
Includes bibliographical references and index.
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