Introduction to Business Data Mining - Brossura

Olson, David; Shi, Yong

Brossura

ISBN 10: 0071244700 ISBN 13: 9780071244701

Casa editrice: McGraw-Hill Education, 2006

Riassunto

Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding.

A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining, and the ethical aspects of data mining. (Part IV).The author team has had extensive experience with the quantitative analysis of business as well as with data mining analysis. They have both taught this material and used their own graduate students to prepare the text’s data mining reports. Using real-world vignettes and their extensive knowledge of this new subject, David Olson and Yong Shi have created a text that demonstrates data mining processes and techniques needed for business applications.

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Contenuti

Part I: INTRODUCTION
1: Initial Description of Data Mining in Business
2: Data Mining Processes and Knowledge Discovery
3: Database Support to Data Mining

Part II: DATA MINING METHODS AS TOOLS
4: Overview of Data Mining Techniques
4 Appendix: Enterprise Miner Demonstration on Expenditure Data Set
5: Cluster Analysis
5 Appendix: Clementine
6: Regression Algorithms in Data Mining
7: Neural Networks in Data Mining
8: Decision Tree Algorithms
8 Appendix: Demonstration of See5 Decision Tree Analysis
9: Linear Programming-Based Methods
9 Appendix: Data Mining Linear Programming Formulations

Part III: BUSINESS APPLICATIONS
10: Business Data Mining Applications Applications
11: Market-Basket Analysis
11 Appendix: Market-Basket Procedure

Part IV: DEVELOPING ISSUES
12: Text and Web Mining
12 Appendix: Semantic Text Analysis
13: Ethical Aspects of Data Mining

Dettagli dell?edizione

• Editore: McGraw-Hill Education
• Data di pubblicazione: 2006
• ISBN 10: 0071244700
• ISBN 13: 9780071244701
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 336