Introduction to Data Mining and Its Applications

By: S. Sumathi, S.N. Sivanandam

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Hardcover | 1 November 2006

At a Glance

Hardcover
852 Pages

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24.13 x 16.51 x 3.81

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Part I Data Mining and Data Warehousing Concepts.- Introduction to Data Mining Principles.- Data warehousing, Data mining and OLAP.- Data warehousing, Data Marts and Applications.- Evolution and Scaling of Data Mining Algorithms.- Emerging Trends and Applications of Data Mining.- Data Mining Trends and Knowledge Discovery.- Data Mining Tasks, Techniques and Applications.- Data Mining - An Introduction Case Study.- Data Mining and KDD.- Statistical Themes and Lessons for Data Mining.- Theoretical Frameworks for Data Mining.- Major and Privacy Issues in Data Mining and Knowledge Discovery.- Active Data Mining.- Decomposition in Data Mining.- Data Mining System Products and Research Prototypes.- Part II Data Mining Applications.- Data Mining in Customer Relationship Management .- Data Mining in Business.- Data Mining in Sales Marketing and Finance.- Banking and Commercial Applications.- Data Mining for Insurance.- Data Mining in Science and Bio Medicine.- Text and Web Mining.- Data Mining in Information Analysis and Delivery.- Data mining in Telecommunications and Control.- Data Mining in Security.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Mathematics Applied Mathematics Computer Science Artificial Intelligence Engineering & Technology Technology in General Engineering in General Probability & Statistics

Introduction to data mining principles	p. 1
Data warehousing, data mining, and OLAP	p. 21
Data marts and data warehouse	p. 75
Evolution and scaling of data mining algorithms	p. 151
Emerging trends and applications of data mining	p. 165
Data mining trends and knowledge discovery	p. 185
Data mining tasks, techniques, and applications	p. 195
Data mining : an introduction - case study	p. 217
Data mining & KDD	p. 231
Statistical themes and lessons for data mining	p. 243
Theoretical frameworks for data mining	p. 265
Major and privacy issues in data mining and knowledge discovery	p. 271
Active data mining	p. 293
Decomposition in data mining - a case study	p. 303
Data mining system products and research prototypes	p. 315
Data mining in customer value and customer relationship management	p. 321
Data mining in business	p. 387
Data mining in sales marketing and finance	p. 411
Banking and commercial applications	p. 439
Data mining for insurance	p. 473
Data mining in biomedicine and science	p. 499
Text and Web mining	p. 545
Data mining in information analysis and delivery	p. 591
Data mining in telecommunications and control	p. 615
Data mining in security	p. 629
Data mining research projects	p. 649
Data mining standards	p. 699
Intelligent miner	p. 731
Clementine	p. 741
Crisp	p. 761
Mineset	p. 779
Enterprise miner	p. 787
Table of Contents provided by Blackwell. All Rights Reserved.

Introduction to Data Mining and Its Applications

At a Glance

Hardcover

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How to return your order

Defective items

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