Introduction to data mining
Title:
Introduction to data mining
Author:
Tan, Pang-Ning, author
ISBN:
9780321321367
9780321420527
Personal Author:
Edition:
Pearson international edition.
Physical Description:
xxi, 769 pages : illustrations ; 24 cm.
Contents:
1. Introduction -- 2. Data -- 3. Exploring data -- 4. Classification : basic concepts, decision trees, and model evaluation -- 5. Classification : alternative techniques -- 6. Association analysis : basic concepts and algorithms -- 7. Association analysis : advanced concepts -- 8. Cluster analysis : basic concepts and algorithms -- 9. Cluster analysis : additional issues and algorithms -- 10. Anomaly detection -- App. A. Linear algebra -- App. B. Dimensionality reduction -- App. C. Probability and statistics -- App. D. Regression -- App. E. Optimization.
Abstract:
"Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--BOOK JACKET.
Subject Term: