Intelligent Data Mining, Da Ruan; Guoqing Chen; Etienne E. Kerre; Geert Wet

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642435467 ISBN-13(EAN): 9783642435461
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This volume, which includes the latest research on data mining and its applications to financial modeling, presents its material in an easy-to-consult handbook style and is aimed at a broad audience that includes both specialists and non-specialists alike.

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642430937 ISBN-13(EAN): 9783642430930
Издательство: Springer
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Цена: 23508.00 р.
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Описание: However, in compiling a volume titled "DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification" we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 36570.00 р.
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Автор: Dehuri Satchidananda Et Al
Название: Knowledge Mining Using Intelligent Agents
ISBN: 184816386X ISBN-13(EAN): 9781848163867
Издательство: World Scientific Publishing
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Цена: 16632.00 р.
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Описание: Explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. This title provides readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility.

Автор: Vladimir Gorodetsky; Chengqi Zhang; Victor Skormin
Название: Autonomous Intelligent Systems: Multi-Agents and Data Mining
ISBN: 3540728384 ISBN-13(EAN): 9783540728382
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St Petersburg, Russia in June 2007.

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642434290 ISBN-13(EAN): 9783642434297
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.

Автор: Mieczyslaw A. Klopotek; Slawomir T. Wierzchon; Krz
Название: Intelligent Information Processing and Web Mining
ISBN: 3540250565 ISBN-13(EAN): 9783540250562
Издательство: Springer
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Цена: 55762.00 р.
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Описание: Contains articles accepted for presentation during the conference "Intelligent Information Systems 2005 - New Trends in Intelligent Information Processing and Web Mining" held in Poland, in 2005. This book focuses on the developments in the areas of Artificial Immune Systems, Search engines, Computational Linguistics and Knowledge Discovery.

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 9720.00 р.
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Описание: Data Mining: Concepts and Techniques 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. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.