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Principles of Data Mining and Knowledge Discovery, Jan M. Zytkow; Mohamed Quafafou


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Автор: Jan M. Zytkow; Mohamed Quafafou
Название:  Principles of Data Mining and Knowledge Discovery
ISBN: 9783540650683
Издательство: Springer
Классификация:

ISBN-10: 3540650687
Обложка/Формат: Paperback
Страницы: 484
Вес: 0.69 кг.
Дата издания: 09.09.1998
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 26
Основная тема: Computer Science
Подзаголовок: Second European Symposium, PKDD'98, Nantes, France, September 23-26, 1998, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The refereed proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery. There are 26 revised papers and 30 poster presentations organized in topical sections, including rule evaluation, visualization, association rules and text mining, and tree construction.


Trends and Applications in Knowledge Discovery and Data Mining

Автор: U Kang; Ee-Peng Lim; Jeffrey Xu Yu; Yang-Sae Moon
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319672738 ISBN-13(EAN): 9783319672731
Издательство: Springer
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Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Principles of Data Mining and Knowledge Discovery

Автор: Jan Komorowski; Jan Zytkow
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 3540632239 ISBN-13(EAN): 9783540632238
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD `97, held in Trondheim, Norway, in June 1997.The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials.

Principles of Data Mining and Knowledge Discovery

Автор: Jan Zytkow; Jan Rauch
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 3540664904 ISBN-13(EAN): 9783540664901
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD`99, held in Prague, Czech Republic in September 1999.The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted.

Principles of Data Mining and Knowledge Discovery

Автор: Tapio Elomaa; Heikki Mannila; Hannu Toivonen
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 3540440372 ISBN-13(EAN): 9783540440376
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Constitutes the proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery held in Finland in 2002. Papers cover kernel methods, probabilistic methods, association rule mining, rough sets, sampling algorithms, pattern discovery, web text mining and more.

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.

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: 364243228X ISBN-13(EAN): 9783642432286
Издательство: Springer
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Цена: 27251.00 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: 3319575287 ISBN-13(EAN): 9783319575285
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: Vincent S. Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319066048 ISBN-13(EAN): 9783319066042
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. They cover the general fields of pattern mining; graph and network mining; biomedical data mining; and unstructured data and text mining.

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: 33401.00 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.

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
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;

Methodologies for Knowledge Discovery and Data Mining

Автор: Ning Zhong; Lizhu Zhou
Название: Methodologies for Knowledge Discovery and Data Mining
ISBN: 3540658661 ISBN-13(EAN): 9783540658665
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Constitutes the refereed proceedings of the Third Pacific Asia Conference on Knowledge Discovery and Data Mining, held in Beijing, China, in April 1999. Topics include emerging KDD technology, association rules, feature selection and generation, and rough sets, fuzzy logic, and neural networks.


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