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

By:

Rud, Olivia Parr

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:

Amazon.com

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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Holdings
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

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Previous	006.312 LES Mining of massive datasets	006.312 MIL Data and text mining :	006.312 MOB Mobility, data mining and privacy :	006.312 RUD Data mining cookbook :	006.312 SUM Introduction to data mining and its applications /	006.312 TAN Introduction to data mining	006.312 WIT Data mining.	Next

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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