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Data mining techniques : for marketing, sales, and customer relationship management /

By: Contributor(s): Material type: TextTextPublication details: Indianapolis : Wiley, 2004.Edition: 2nd editionDescription: 1 online resource (xxv, 643 pages) : illustrations, 1 mapISBN:
  • 8126505176
Subject(s): Additional physical formats: Print version:: Data mining techniques.DDC classification:
  • 658.802
Online resources: Summary: * Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems* Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support* The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining.
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Item type Current library Collection Call number Status Date due Barcode
Books Books Botho University Botswana Open Shelves Faculty Business & Accounting 658.802 BER (Browse shelf(Opens below)) Available BC-LIB00545
Books Books Botho University Botswana Open Shelves Faculty Business & Accounting 658.802 BER (Browse shelf(Opens below)) Available BC-LIB00546
Books Books Botho University Botswana Open Shelves Faculty Business & Accounting 658.802 BER (Browse shelf(Opens below)) Available BC-LIB00544

* Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems* Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support* The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining.

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