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Principles of Data Mining and Knowledge Discovery, Jan Zytkow; Jan Rauch


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Автор: Jan Zytkow; Jan Rauch
Название:  Principles of Data Mining and Knowledge Discovery
ISBN: 9783540664901
Издательство: Springer
Классификация:

ISBN-10: 3540664904
Обложка/Формат: Paperback
Страницы: 593
Вес: 0.85 кг.
Дата издания: 01.09.1999
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 32
Основная тема: Computer Science
Подзаголовок: Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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: 3319066072 ISBN-13(EAN): 9783319066073
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.

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.

Data Mining and Knowledge Discovery for Big Data

Автор: Wesley W. Chu
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3662509458 ISBN-13(EAN): 9783662509456
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Knowledge Discovery and Data Mining

Автор: O. Maimon; M. Last
Название: Knowledge Discovery and Data Mining
ISBN: 1441948422 ISBN-13(EAN): 9781441948427
Издательство: Springer
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Цена: 19559.00 р.
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Описание: This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http: //www.eng.tau.ac.iV-maimonlifn-kdg ). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Data Mining and Knowledge Discovery for Big Data

Автор: Chu Wesley W.
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3642408362 ISBN-13(EAN): 9783642408366
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Data Mining Methods for Knowledge Discovery

Автор: Krzysztof J. Cios; Witold Pedrycz; Roman W. Swinia
Название: Data Mining Methods for Knowledge Discovery
ISBN: 1461375576 ISBN-13(EAN): 9781461375579
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery.

Principles of Data Mining and Knowledge Discovery

Автор: Jan M. Zytkow; Mohamed Quafafou
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 3540650687 ISBN-13(EAN): 9783540650683
Издательство: Springer
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Цена: 12577.00 р.
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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.

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: 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.

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.

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: 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.

Research and Development in Knowledge Discovery and Data Mining

Автор: Xindong Wu; Ramamohanarao Kotagiri; Kevin B. Korb
Название: Research and Development in Knowledge Discovery and Data Mining
ISBN: 3540643834 ISBN-13(EAN): 9783540643838
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This collection of papers contributes results to all aspects in knowledge discovery and data mining on the research level as well as on machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software re-engineering, and knowledge-based systems.


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