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Data mining cookbook : modeling data for marketing, risk and customer relationship management / Olivia Parr Rud.

By: Material type: TextPublication details: [S.l.] : Wiley, 2000.Edition: 1st edDescription: 367 p. ; 24 cmISBN:
  • 0471385646 (paperback)
  • 9780471385646 (paperback)
DDC classification:
  • 006.3
Online resources: Summary: Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.
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Item type Current library Collection Call number Status Barcode
Book Air University Central Library Islamabad Computer Science NFIC 006.312 RUD (Browse shelf(Opens below)) Available P3852

Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.

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