Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest adv

part |2 pages

Part I: Fundamentals

chapter 1|18 pages


chapter 2|24 pages

Mathematical Foundations

chapter 3|12 pages

Data Preparation

chapter 4|43 pages

Clustering Analysis

chapter 5|17 pages

Classifi cation

chapter 6|34 pages

Frequent Pattern Mining

part |2 pages

Part II: Advanced Data Mining

chapter 7|28 pages

Advanced Clustering Analysis

chapter 8|23 pages

Multi-Label Classifi cation

chapter 9|9 pages

Privacy Preserving in Data Mining

part |2 pages

Part III: Emerging Applications

chapter 10|21 pages

Data Stream

chapter 11|12 pages

Recommendation Systems

chapter 12|24 pages

Social Tagging Systems