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Pang-Ning Tan ; Michael Steinbach ; Vipin Kumar

Introduction to data mining /Pang-Ning Tan; Michael Steinbach; Vipin Kumar - New Delhi :Pearson Education ,2016 - xix,760 Pages ;24 cm.

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.

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

ISSN: 9789332571402

Publisher. No.: Raghav Books Private Limited A-184 A, Nand Gram, Ghaziabad, U.P.

Subjects--Topical Terms:
Computer Science

Index Terms--Genre/Form:
Data mining.

Dewey Class. No.: 006.312 TAN