Good book for learning about the data mining techniques of logistic and linear regression. It helped highlight some good uses, and fortunately, I've recently had the opportunity to use it in my work. However, I was a bit disappointed that the data preparation seemed very coding intensive. The author
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
โ Scribed by Olivia Parr Rud
- Publisher
- Wiley
- Year
- 2000
- Tongue
- English
- Leaves
- 428
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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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Excellent coverage of various aspects of data mining. Popular as a textbook (reason for purchase). Plenty of graphics and illustrations; written in clear and easily understood English.
Excellent coverage of various aspects of data mining. Popular as a textbook (reason for purchase). Plenty of graphics and illustrations; written in clear and easily understood English.
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 problemsEach chapter covers a new data mining technique,
* 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 techni