Data Mining Tutorial

Author: Dummett
Publisher:
Publish Date: 2005-05-01
Features: This book comprehensively and systematically introduces the basic concepts, methods, and algorithms of data mining. The book is divided into four parts. For each algorithm, it provides detailed explanations, examples, and pseudocode. The exercises and references at the end of each chapter offer clues for further exploration of related issues. This book is suitable as a textbook for senior undergraduate and graduate students in computer science, as well as a reference book for researchers in related fields.