Data Mining: Concepts and Techniques 2/e
- 20本以上，享 8.5折
售價
$
1,300
- 一般書籍
- ISBN：9780123739056
- 作者：Jiawei Han
- 版次：2
- 年份：2007
- 出版商：Elsevier B.V.
- 頁數/規格：770頁
目錄
作者介紹
Table of Contents
1. Introduction
2. Data Preprocessing
3. Data Warehouse and OLAP Technology: An Overview
4. Data Cube Computation and Data Generalization
5. Mining Frequent Patterns, Associations, and Correlations
6. Classification and Prediction
7. Cluster Analysis
8. Mining Stream, Time-Series, and Sequence Data
9. Graph Mining, Social Network Analysis, and Multirelational Data Mining
10. Mining Object, Spatial, Multimedia, Text, and Web Data
11. Applications and Trends in Data Mining
1. Introduction
2. Data Preprocessing
3. Data Warehouse and OLAP Technology: An Overview
4. Data Cube Computation and Data Generalization
5. Mining Frequent Patterns, Associations, and Correlations
6. Classification and Prediction
7. Cluster Analysis
8. Mining Stream, Time-Series, and Sequence Data
9. Graph Mining, Social Network Analysis, and Multirelational Data Mining
10. Mining Object, Spatial, Multimedia, Text, and Web Data
11. Applications and Trends in Data Mining
Jiawei Han is Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Well known for his research in the areas of data mining and database systems, he has received many awards for his contributions in the field, including the 2004 ACM SIGKDD Innovations Award. He has served as Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data, and on editorial boards of several journals, including IEEE Transactions on Knowledge and Data Engineering and Data Mining and Knowledge Discovery.
