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Soft Computing for Knowledge Discovery and Data Mining, Oded Maimon; Lior Rokach


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Автор: Oded Maimon; Lior Rokach
Название:  Soft Computing for Knowledge Discovery and Data Mining
ISBN: 9781441943514
Издательство: Springer
Классификация:




ISBN-10: 144194351X
Обложка/Формат: Paperback
Страницы: 433
Вес: 0.62 кг.
Дата издания: 04.11.2010
Язык: English
Размер: 234 x 156 x 23
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.

Soft Computing for Knowledge Discovery and Data Mining introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining. This edited volume by highly regarded authors, includes several contributors of the 2005, Data Mining and Knowledge Discovery Handbook. This book was written to provide investigators in the fields of information systems, engineering, computer science, statistics and management with a profound source for the role of soft computing in data mining. Not only does this book feature illustrations of various applications including manufacturing, medical, banking, insurance and others, but also includes various real-world case studies with detailed results.

Soft Computing for Knowledge Discovery and Data Mining is designed for practitioners and researchers in industry. Practitioners and researchers may be particularly interested in the description of real world data mining projects performed with soft computing. This book is also suitable as a secondary textbook or reference for advanced-level students in information systems, engineering, computer science and statistics management.




Data Mining and Knowledge Discovery via Logic-Based Methods

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1441916296 ISBN-13(EAN): 9781441916297
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Data Mining and Knowledge Discovery via Logic-Based Methods

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1461426138 ISBN-13(EAN): 9781461426134
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Scientific Data Mining and Knowledge Discovery

Автор: Mohamed Medhat Gaber
Название: Scientific Data Mining and Knowledge Discovery
ISBN: 3642426247 ISBN-13(EAN): 9783642426247
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book provides the reader with a complete view of the different tools used in the analysis of data for scientific discovery. The book offers both an overview of the state-of-the-art, and lists areas and open issues for future research and development.

Multimedia Data Mining and Knowledge Discovery

Автор: Valery A. Petrushin; Latifur Khan
Название: Multimedia Data Mining and Knowledge Discovery
ISBN: 1447160134 ISBN-13(EAN): 9781447160137
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications.

Soft Computing for Knowledge Discovery

Автор: James G. Shanahan
Название: Soft Computing for Knowledge Discovery
ISBN: 0792379187 ISBN-13(EAN): 9780792379188
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Knowledge discovery is an area of computer science that attempts to uncover interesting patterns in data that permit a computer to perform a task autonomously. This title provides a self-contained exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective.

Advances in Knowledge Discovery and Data Mining

Автор: Takashi Washio; Einoshin Suzuki; Kai Ming Ting; Ak
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3540681248 ISBN-13(EAN): 9783540681243
Издательство: Springer
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Цена: 22359.00 р.
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Описание: 12th Pacific-Asia Conference PAKDD 2008 Osaka Japan May 20-23 2008 Proceedings.

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 2685.00 р.
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

Biologically-Inspired Techniques For Knowledge Discovery And Data Mining

Автор: Alam
Название: Biologically-Inspired Techniques For Knowledge Discovery And Data Mining
ISBN: 1466660783 ISBN-13(EAN): 9781466660786
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
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Описание: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Improving Knowledge Discovery Through The Integration Of Data Mining Techniques

Автор: Usman
Название: Improving Knowledge Discovery Through The Integration Of Data Mining Techniques
ISBN: 1466685131 ISBN-13(EAN): 9781466685130
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery.Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Trends and Applications in Knowledge Discovery and Data Mining

Автор: Cao
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319429957 ISBN-13(EAN): 9783319429953
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions.

Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319574531 ISBN-13(EAN): 9783319574530
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. spatio-temporal and sequential data mining; dynamic, stream data mining; behavioral data mining;

Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319575287 ISBN-13(EAN): 9783319575285
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. spatio-temporal and sequential data mining; dynamic, stream data mining; behavioral data mining;


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