Data mining for business analytics : concepts, techniques, and applications with XLMiner / Galit Shmueli, Peter C. Bruce, Nitin R. Patel.
Material type:
TextPublisher: Hoboken, NJ : John Wiley & Sons, Inc., c2018Edition: Third editionDescription: xxxi, 514 pages : illustrationsContent type: text Media type: unmediated Carrier type: volumeISBN: 9781119519669 [paperback]Subject(s): Business -- Data processing | Data miningDDC classification: 650 Sh69 2018 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
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College Library | 650 Sh69 2018 (Browse shelf) | c.1 | Available | 3UCBL000026543 | |
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Book
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College Library | 650 Sh69 2018 (Browse shelf) | c.2 | Available | 3UCBL000026554 |
Includes bibliographical references and index.
Contents: Chapter 1 Introduction -- Chapter 2 Overview of the data mining process -- Chapter 3 Data visualization -- Chapter 4 Dimension reduction -- Chapter 5 Evaluating predictive performance -- Chapter 6 Multiple linear regression -- Chapter 7 k-Nearest-neighbors (k-NN) -- Chapter 8 The naive bayes classifier -- Chapter 9 Classification and regression tress -- Chapter 10 Logistic regression -- Chapter 11 Neural nets -- Chapter 12 Discrmininant analysis -- Chapter 13 Combining methods: ensembles and uplift modeling -- Chapter 14 Association rules and collaborative filtering -- Chapter 15 Cluster analysis -- Chapter 16 Handling time series -- Chapter 17 Regression-based forecasting -- Chapter 18 Smoothing methods -- Chapter 19 Social network analytics -- Chapter 20 Text mining -- Chapter 21 Cases.
Moma Ortega Computer Studies, Information Technology, Information Systems and Animation Computer Studies : Information Technology
Christopher Biore Business and Accountancy BSBA-Marketing Management
English
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