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Multimedia Data Mining and Knowledge Discovery, Valery A. Petrushin; Latifur Khan


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Цена: 18904.00р.
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Автор: Valery A. Petrushin; Latifur Khan
Название:  Multimedia Data Mining and Knowledge Discovery
ISBN: 9781447160137
Издательство: Springer
Классификация:




ISBN-10: 1447160134
Обложка/Формат: Paperback
Страницы: 521
Вес: 0.76 кг.
Дата издания: 26.11.2014
Язык: English
Размер: 234 x 156 x 28
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

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.

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: 15855.00 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.

Data Mining and Knowledge Discovery for Process Monitoring and Control

Автор: Xue Z. Wang
Название: Data Mining and Knowledge Discovery for Process Monitoring and Control
ISBN: 1447111370 ISBN-13(EAN): 9781447111375
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Автор: Evangelos Triantaphyllou; Giovanni Felici
Название: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
ISBN: 1441941738 ISBN-13(EAN): 9781441941732
Издательство: Springer
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Цена: 29150.00 р.
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Описание: This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications.

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.

Advances in Knowledge Discovery and Data Mining

Автор: Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu-Bao Ho; Dav
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319180371 ISBN-13(EAN): 9783319180373
Издательство: Springer
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Цена: 10733.00 р.
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Описание: This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions.

Trends and Applications in Knowledge Discovery and Data Mining

Автор: Xiao-Li Li; Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319256599 ISBN-13(EAN): 9783319256597
Издательство: Springer
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Цена: 5854.00 р.
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Описание: This book constitutes the refereed proceedings at PAKDD Workshops 2015, held in conjunction with PAKDD, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015.

Data Mining and Knowledge Discovery for Geoscientists

Автор: Guangren Shi
Название: Data Mining and Knowledge Discovery for Geoscientists
ISBN: 0124104371 ISBN-13(EAN): 9780124104372
Издательство: Elsevier Science
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Цена: 15159.00 р.
Наличие на складе: Нет в наличии.

Описание: Addresses challenges by summarizing the developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. This title focuses on 22 of data mining`s practical algorithms and application samples.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 3540262571 ISBN-13(EAN): 9783540262572
Издательство: Springer
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Цена: 23783.00 р.
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

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: 13415.00 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;

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: 6098.00 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.


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