Textbook on Data Mining

Textbook on Data Mining is a comprehensive textbook that covers the fundamental principles and practices of data mining. The book is written in a clear and concise style, and it is designed to be accessible to students and professionals with a variety of backgrounds, including computer science, information technology, and business.

The book begins with an overview of the field of data mining and its importance in the modern world. It then discusses the different types of data mining tasks, such as classification, clustering, regression, and association rule mining.

The book also covers a variety of specific data mining topics, such as:

Cluster analysis
Data analysis
Data analytics
Data applications
Data streams
Frequent pattern mining
Graph mining
Outlier analysis
Privacy-preserving data mining
Sequence mining
Social networks
Spatial data mining
Text mining
Time-series analysis
Web mining

The book also includes a number of chapters on more advanced topics, such as:

Ensemble learning
Machine learning
Natural language processing
Visual data mining