Name: Data Mining, Southeast Asia Edition By Jiawei Han (University of Illinois, Urbana Champaign)
SKU: 9781558609013
Price: 43.99 GBP
Availability: InStock

Data Mining, Southeast Asia Edition Summary

Data Mining, Southeast Asia Edition by Jiawei Han (University of Illinois, Urbana Champaign)

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.

Data Mining, Southeast Asia Edition Reviews

"Jiawei, Micheline, and Jian give an encyclopedic coverage of all the related methods, from the classic topics of clustering and classification, to database methods (association rules, data cubes) to more recent and advanced topics (SVD/PCA , wavelets, support vector machines).. Overall, it is an excellent book on classic and modern data mining methods alike, and it is ideal not only for teaching, but as a reference book."- Christos Faloutsos, Carnegie Mellon University

About Jiawei Han (University of Illinois, Urbana Champaign)

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. Micheline Kamber is a researcher with a passion for writing in easy-to-understand terms. She has a master's degree in computer science (specializing in artificial intelligence) from Concordia University, Canada. Jian Pei is currently a Canada Research Chair (Tier 1) in Big Data Science and a Professor in the School of Computing Science at Simon Fraser University. He is also an associate member of the Department of Statistics and Actuarial Science. He is a well-known leading researcher in the general areas of data science, big data, data mining, and database systems. His expertise is on developing effective and efficient data analysis techniques for novel data intensive applications. He is recognized as a Fellow of the Association of Computing Machinery (ACM) for his "contributions to the foundation, methodology and applications of data mining" and as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for his "contributions to data mining and knowledge discovery". He is the editor-in-chief of the IEEE Transactions of Knowledge and Data Engineering (TKDE), a director of the Special Interest Group on Knowledge Discovery in Data (SIGKDD) of the Association for Computing Machinery (ACM), and a general co-chair or program committee co-chair of many premier conferences.

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 Multi-Relational Data Mining 10. Mining Object, Spatial, Multimedia, Text, and Web Data 11. Applications and Trends in Data Mining Appendix A: An Introduction to Microsoft's OLE DB for Data Mining

Additional information

Sku

GOR007258025

ISBN 13

9781558609013

ISBN 10

1558609016

Title

Data Mining, Southeast Asia Edition by Jiawei Han (University of Illinois, Urbana Champaign)

Author

Jiawei Han (University of Illinois, Urbana Champaign)

Series

The Morgan Kaufmann Series in Data Management Systems

Condition

Used - Very Good

Binding type

Hardback

Publisher

Elsevier Science & Technology

Year published

2006-04-06

Number of pages

800

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Data Mining, Southeast Asia Edition Jiawei Han (University of Illinois, Urbana Champaign)

Data Mining, Southeast Asia Edition by Jiawei Han (University of Illinois, Urbana Champaign)

Summary

Data Mining, Southeast Asia Edition Summary

Data Mining, Southeast Asia Edition by Jiawei Han (University of Illinois, Urbana Champaign)

Data Mining, Southeast Asia Edition Reviews

About Jiawei Han (University of Illinois, Urbana Champaign)

Table of Contents

Additional information

Customer Reviews - Data Mining, Southeast Asia Edition