Data Mining Concepts and Techniques

Data Mining Concepts and Techniques

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Provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It...

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Bibliographic Details
Main Authors: Han, Jiawei (Author), Kamber, Micheline (Author), Jian, Pei (Author)
Format: Book
Language:English
Published: San Francisco Morgan Kaufmann 2012
Edition:Third Edition
Series:Morgan Kaufmann series in data management systems.
Subjects:
Data mining
Fouille de données
Computer > assisted instruction
Data mining > Handbooks, manuals, etc
Online Access:Click Here to View Status and Holdings.
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245 1 0 |a Data Mining  |b Concepts and Techniques  |c Jiawei Han; Micheline Kamber; Jian Pei 
250 # # |a Third Edition 
264 # 1 |a San Francisco  |b Morgan Kaufmann  |c 2012 
264 # 4 |c ©2012 
300 # # |a xxxv, 703 pages  |b illustrations  |c 25 cm 
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338 # # |a volume  |2 rdacarrier 
490 0 # |a Morgan Kaufmann series in data management systems. 
500 # # |a "This 3rd edition presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. It 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. The work also provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data."--The Publisher. 
504 # # |a Includes bibliographical references and index 
505 0 # |a 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. 
520 # # |a Provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. 
526 0 # |a MKM775  |b IM701  |5 IM 
526 0 # |a Knowledge Discovery: Text and Data Mining  |b Master of Science in Knowledge Management (by Coursework)  |5 Faculty of Information Management 
526 0 # |a MKM775  |b IM770  |5 IM 
526 0 # |a Knowledge Discovery: Text and Data Mining  |b Master of Science in Information Management  |5 Faculty of Information Management 
546 # # |a In English 
650 # 0 |a Data mining 
650 # 0 |a Fouille de données 
650 # 0 |a Computer  |x assisted instruction 
650 # 0 |a Data mining  |x Handbooks, manuals, etc 
700 1 # |a Kamber, Micheline  |e author 
700 1 # |a Jian, Pei  |e author 
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