Solution Manual Data Mining and Machine Learning Fundamental Concepts and Algorithms 2nd Edition by Mohammed J. Zaki

Solution Manual Data Mining and Machine Learning Fundamental Concepts and Algorithms 2nd Edition by Mohammed J. Zaki

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Solution Manual Data Mining and Machine Learning Fundamental Concepts and Algorithms 2nd Edition by Mohammed J. Zaki

Mohammed J. Zaki, Wagner Meira, Jr.

This textbook provides a comprehensive and up-to-date overview of data mining and machine learning techniques. It covers both fundamental and advanced topics, including pattern mining, clustering, classification, and regression, along with newer methods such as deep learning. The book is designed for senior undergraduate and graduate courses and includes practical exercises and resources for deeper understanding.

ISBN-10: 1108473989
ISBN-13: 9781108473989 (Print)
ISBN-13: 9781108658690 (Digital)

Table of Contents
Part I: Data Analysis Foundations
1. Data Mining and Analysis
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
Part V: Regression
23. Linear Regression
24. Logistic Regression
25. Neural Networks
26. Deep Learning
27. Regression Evaluation

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