Data Mining, Southeast Asia EditionElsevier, 2006 M04 6 - 800 pages 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.
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... Database Modeling and Design: Logical Design, Fourth Edition Toby J. Teorey, Sam S. Lightstone and Thomas P. Nadeau ... Relational and Other Advanced Features Jim Melton Database Tuning: Principles, Experiments, and Troubleshooting ...
... Relational DBMSs: Tracking the Next Great Wave, Second Edition Michael Stonebraker and Paul Brown,with Dorothy Moore A Complete Guide to DB2 Universal Database ... Database Systems: Triggers and Rules For Advanced Database Processing.
... Relational Databases 10 1.3.2 Data Warehouses 12 1.3.3 Transactional Databases 14 1.3.4 Advanced Data and ... Database or Data Warehouse System 34 1.9 Major Issues in Data Mining 36 Chapter 2 Chapter 3 1.10 Summary 39 Exercises 40 ...
... multirelational data. The chapters are described briefly as follows, with emphasis on ... relational, transactional, and data warehouse data, as well as complex types ... database or data warehouse system. These two sections represent the ...
... database creation mechanisms served as a prerequisite for later development of effective mechanisms for data storage ... relational database systems (where data are stored in relational table structures; see Section 1.3.1), data modeling ...
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 |