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Data Mining Explained Rhonda Delmater

Data Mining Explained von Rhonda Delmater

Data Mining Explained Rhonda Delmater


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Zusammenfassung

A guide to using powerful data mining technologies to solve important business challenges, and to identify and serve customer needs. It covers how data mining can help them find relationships and patterns, such as customer buying habits, within the huge stores of data they gather every day.

Data Mining Explained Zusammenfassung

Data Mining Explained: A Manager's Guide to Customer-centric Business Intelligence Rhonda Delmater

The first book for managers and technical professionals that teaches data mining in an accessible way and that explains how data mining drives next-generation customer relationship strategies. Data Mining Explained helps technically-proficient managers and IT professionals use powerful data mining technologies to solve important business challenges, most importantly to identify and better serve customer needs. Written by data mining experts, Data Mining Explained describes how companies in general and those in key vertical markets can design and build effective technical marketing and sales strategies and operations using data mining. Data Mining Explained makes vital and increasingly mainstream concepts and technologies accessible to a wide range of readers new to the topic. Readers will learn how data mining can help them find relationships and patterns, such as customer buying habits, within the huge stores of data they gather every day. Data Mining Explained helps readers understand how data mining is defining next-generation e-commerce and customer relationship management (CRM) and can revolutionize how organizations engage their customers.

Inhaltsverzeichnis

Why Data Mining is Important: What is Customer-Centric Data Mining?; How Data Mining Can Enhance Your Services and Products; Data Mining Can Solve Your Most Difficult Problems; The Data Mining Process; Pillars of the Data Mining Framework: The Information Technology of Business Intelligence; The Data in Data Mining; The Mathematics of Data Mining; Data Mining Techniques: Knowledge Discovery; Data Mining Techniques: More Knowledge Discovery; Data Mining Techniques: Predictive Models; Data Mining Management: Common Reasons Data Mining Projects Fail; Overcoming Obstacles; Successful Data Mining Project Management; Data Mining in Practice--Case Studies: Data Mining in: Customer Service, Retail, Insurance, Financial Services, Health Care and Medicine, Telecommunications, Transportation and Logistics, Energy, and Government; Glossary; Bibliography; Appendixes: Vendor Information; STAT 101; Techniques Listed by Methodology Phase

Zusätzliche Informationen

GOR005532588
9781555582319
1555582311
Data Mining Explained: A Manager's Guide to Customer-centric Business Intelligence Rhonda Delmater
Gebraucht - Sehr Gut
Broschiert
Elsevier Science & Technology
2001-01-22
416
N/A
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