Data Mining, Southeast Asia EditionOur 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.
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... on-line via the Elsevier homepage (http://elsevier.com) by selecting “Customer Support” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Application submitted ISBN 13: 978-1-55860-901-3 ISBN 10: 1 ...
... On-Line Analytical Processing to On-Line Analytical Mining 148 Summary 150 Exercises 152 Bibliographic Notes 154 Chapter 4 Data Cube Computation and Data Generalization 157 4.1 4.2 Efficient Methods for Data Cube Computation 157 4.1.1 A ...
... on the new material. Chapter 1 provides an introduction to the ... on the different kinds of knowledge to be mined. In comparison with the first edition, two new ... Line Analytical Processing), and data generalization. These two chapters ...
... on-line analytical processing, as well as the relationship between data warehousing and data mining. Chapter 4 takes a more in-depth look at data warehouse and OLAP technology, presenting a detailed study of methods of data cube ...
... on data mining for biological and biomedical data analysis, other scientific applications, intrusion detection, and ... line analytical processing in depth. Alternatively, you may omit some sections in Chapters 1 to 7 and use Chapter 11 as ...
Contents
1 | |
47 | |
105 | |
4 Data Cube Computation and Data Generalization | 157 |
5 Mining Frequent Patterns Associations and Correlations | 227 |
6 Classification and Prediction | 285 |
7 Cluster Analysis | 383 |
8 Mining Stream TimeSeries and Sequence Data | 467 |
9 Graph Mining Social Network Analysis and Multirelational Data Mining | 535 |
10 Mining Object Spatial Multimedia Text and Web Data | 591 |
11 Applications and Trends in Data Mining | 649 |
An Introduction to Microsofts OLE DB for Data Mining | 691 |
Bibliography | 703 |
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Geographic Data Mining and Knowledge Discovery Harvey J. Miller,Jiawei Han No preview available - 2003 |