Introduction to data mining
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more...
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| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Essex
Pearson
2014
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| Edition: | Pearson New International Edition. First edition |
| Subjects: | |
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| 020 | |a 1292026154 (pbk) | ||
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| 100 | 1 | |a Tan, Pang-Ning. | |
| 245 | 1 | 0 | |a Introduction to data mining |c Pang-Ning Tan, Michael Steinbach, Vipin Kumar. |
| 250 | |a Pearson New International Edition. First edition | ||
| 260 | |a Essex |b Pearson |c 2014 | ||
| 300 | |a ii, 732 pages |b illustrations (black and white) |c 28 cm. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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 -- Appendix B Dimensionality Reduction -- Appendix D Regression Appendix -- E Optimization. | |
| 520 | |a Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. | ||
| 592 | |a 00013854 |b 25/11/2014 |c RM105.90 |h PVK | ||
| 650 | 0 | |a Data mining. | |
| 700 | 1 | |a Steinbach, Michael. | |
| 700 | 1 | |a Kumar, Vipin | |
| 999 | |a vtls000052899 |c 98970 |d 98970 | ||