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11. Advanced Cluster Analysis
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11. Advanced Cluster Analysis
by Micheline Kamber, Jian Pei, Jiawei Han
Data Mining: Concepts and Techniques, 3rd Edition
Cover image
Title page
Table of Contents
Front Matter
Copyright
Dedication
Foreword
Foreword to Second Edition
Preface
Organization of the Book
To the Instructor
To the Student
To the Professional
Book Web Sites with Resources
Acknowledgments
Third Edition of the Book
Second Edition of the Book
First Edition of the Book
About the Authors
1. Introduction
Publisher Summary
1.1 Why Data Mining?
1.2 What Is Data Mining?
1.3 What Kinds of Data Can Be Mined?
1.4 What Kinds of Patterns Can Be Mined?
1.5 Which Technologies Are Used?
1.6 Which Kinds of Applications Are Targeted?
1.7 Major Issues in Data Mining
1.8 Summary
1.9 Exercises
1.10 Bibliographic Notes
2. Getting to Know Your Data
Publisher Summary
2.1 Data Objects and Attribute Types
2.2 Basic Statistical Descriptions of Data
2.3 Data Visualization
2.4 Measuring Data Similarity and Dissimilarity
2.5 Summary
2.6 Exercises
2.7 Bibliographic Notes
3. Data Preprocessing
Publisher Summary
3.1 Data Preprocessing: An Overview
3.2 Data Cleaning
3.3 Data Integration
3.4 Data Reduction
3.5 Data Transformation and Data Discretization
3.6 Summary
3.7 Exercises
3.8 Bibliographic Notes
4. Data Warehousing and Online Analytical Processing
Publisher Summary
4.1 Data Warehouse: Basic Concepts
4.2 Data Warehouse Modeling: Data Cube and OLAP
4.3 Data Warehouse Design and Usage
4.4 Data Warehouse Implementation
4.5 Data Generalization by Attribute-Oriented Induction
4.6 Summary
4.7 Exercises
Bibliographic Notes
5. Data Cube Technology
Publisher Summary
5.1 Data Cube Computation: Preliminary Concepts
5.2 Data Cube Computation Methods
5.3 Processing Advanced Kinds of Queries by Exploring Cube Technology
5.4 Multidimensional Data Analysis in Cube Space
5.5 Summary
5.6 Exercises
5.7 Bibliographic Notes
6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods
Publisher Summary
6.1 Basic Concepts
6.2 Frequent Itemset Mining Methods
6.3 Which Patterns Are Interesting?—Pattern Evaluation Methods
6.4 Summary
6.5 Exercises
6.6 Bibliographic Notes
7. Advanced Pattern Mining
Publisher Summary
7.1 Pattern Mining: A Road Map
7.2 Pattern Mining in Multilevel, Multidimensional Space
7.3 Constraint-Based Frequent Pattern Mining
7.4 Mining High-Dimensional Data and Colossal Patterns
7.5 Mining Compressed or Approximate Patterns
7.6 Pattern Exploration and Application
7.7 Summary
7.8 Exercises
7.9 Bibliographic Notes
8. Classification: Basic Concepts
Publisher Summary
8.1 Basic Concepts
8.2 Decision Tree Induction
8.3 Bayes Classification Methods
8.4 Rule-Based Classification
8.5 Model Evaluation and Selection
8.6 Techniques to Improve Classification Accuracy
8.7 Summary
8.8 Exercises
8.9 Bibliographic Notes
9. Classification: Advanced Methods
Publisher Summary
9.1 Bayesian Belief Networks
9.2 Classification by Backpropagation
9.3 Support Vector Machines
9.4 Classification Using Frequent Patterns
9.5 Lazy Learners (or Learning from Your Neighbors)
9.6 Other Classification Methods
9.7 Additional Topics Regarding Classification
Summary
9.9 Exercises
9.10 Bibliographic Notes
10. Cluster Analysis: Basic Concepts and Methods
Publisher Summary
10.1 Cluster Analysis
10.2 Partitioning Methods
10.3 Hierarchical Methods
10.4 Density-Based Methods
10.5 Grid-Based Methods
10.6 Evaluation of Clustering
10.7 Summary
10.8 Exercises
10.9 Bibliographic Notes
11. Advanced Cluster Analysis
Publisher Summary
11.1 Probabilistic Model-Based Clustering
11.2 Clustering High-Dimensional Data
11.3 Clustering Graph and Network Data
11.4 Clustering with Constraints
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10.9 Bibliographic Notes
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Advanced Cluster Analysis
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