| Description |
1 online resource (xxxv, 703 pages) : illustrations |
| Series |
The Morgan Kaufmann series in data management systems |
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Morgan Kaufmann series in data management systems.
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| Contents |
Introduction -- Getting to know your data -- Data processing -- Data warehousing and online analytical processing -- Data cube technology -- Mining frequent patterns, associations, and correlations : basic concepts and methods -- Advanced pattern mining -- Classification : basic concepts -- Classification : advanced methods -- Cluster analysis : basic concepts and methods -- Advanced cluster analysis -- Outlier detection -- Data mining trends and research frontiers |
| Summary |
" ... Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--Publisher |
| Bibliography |
Includes bibliographical references (pages 633-671) and index |
| Notes |
Copyright: Elsevier Science & Technology 2012 |
|
Copyright ©: Elsevier Science & Technology 2012 |
|
Print version record |
| Subject |
Data mining.
|
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COMPUTERS -- Database Management -- Data Mining.
|
|
COMPUTERS
Database Management -- Data Mining.
|
|
Fouille de données.
|
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Data mining
|
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Data Mining
|
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Data mining.
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| Form |
Electronic book
|
| Author |
Kamber, Micheline
|
|
Pei, Jian (Computer scientist)
|
| ISBN |
9780123814807 |
|
0123814804 |
|
