About the Book:
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way.
Table of Contents
An Introduction to Data Mining
Data Preparation
Similarity and Distances
Association Pattern Mining
Association Pattern Mining: Advanced Concepts
Cluster Analysis
Cluster Analysis: Advanced Concepts
Outlier Analysis
Outlier Analysis: Advanced Concepts
Data Classification
Data Classification: Advanced Concepts
Mining Data Streams
Mining Spatial Data
Privacy-Preserving Data Mining
