| 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 |
| Summary |
"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 |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Textbook INFS 5100 2015 |
| Subject |
Data mining.
|
| Author |
Kumar, Vipin, 1956-
|
|
Steinbach, Michael.
|
| LC no. |
2005008721 |
| ISBN |
0321321367 (alk. paper) |
|
