Solution Manual for Data Mining and Analysis Fundamental Concepts and Algorithms, 1st Edition, Mohammed J. Zaki, Wagner Meira, Jr
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Solution Manual for Data Mining and Analysis Fundamental Concepts and Algorithms, 1st Edition, Mohammed J. Zaki, Wagner Meira, Jr,
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Solution Manual for Data Mining and Analysis Fundamental Concepts and Algorithms, 1st Edition, Mohammed J. Zaki, Wagner Meira, Jr,
Table of Contents
1. Data mining and analysis
Part I. Data Analysis Foundations:
2. Numeric attributes
3. Categorical attributes
4. Graph data
5. Kernel methods
6. High-dimensional data
7. Dimensionality reduction
Part II. Frequent Pattern Mining:
8. Itemset mining
9. Summarizing itemsets
10. Sequence mining
11. Graph pattern mining
12. Pattern and rule assessment
Part III. Clustering:
13. Representative-based clustering
14. Hierarchical clustering
15. Density-based clustering
16. Spectral and graph clustering
17. Clustering validation
Part IV. Classification:
18. Probabilistic classification
19. Decision tree classifier
20. Linear discriminant analysis
21. Support vector machines
22. Classification assessment.
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