Data Mining, Southeast Asia Edition: Concepts and Techniques - Brossura

Han, Jiawei; Pei Professor, Jian; Kamber, Micheline

Brossura

ISBN 10: 0123739055 ISBN 13: 9780123739056

Casa editrice: Morgan Kaufmann, 2006

Riassunto

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.

• A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data
• Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning
• Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects
• Complete classroom support for instructors at www.mkp.com/datamining2e companion site

Su questo libro

L'autore:

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.

Su questa edizione

• Editore: Morgan Kaufmann
• Data di pubblicazione: 2006
• ISBN 10: 0123739055
• ISBN 13: 9780123739056
• Rilegatura: Copertina flessibile
• Numero edizione: 2
• Numero di pagine: 800