Complete eTextbook Content:
1 Data-Mining Concepts
2 Preparing the Data
3 Data Reduction
4 Learning from Data
5 Statistical Methods
6 Decision Trees and Decision Rules
7 Artificial Neural Networks
8 Ensemble Learning
9 Cluster Analysis
10 Association Rules
11 Web Mining and Text Mining
12 Advances in Data Mining
13 Genetic Algorithms
14 Fuzzy Sets and Fuzzy Logic
15 Visualization Methods
Appendix A: Information on Data Mining
Appendix B: Data-Mining Applications
Name: Data Mining: Concepts, Models, Methods, and Algorithms, 3rd Edition
Author: Mehmed Kantardzic
This is a eBook for the actual textbook of Data Mining: Concepts, Models, Methods, and Algorithms, 3rd Edition, by Mehmed Kantardzic.
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