Principles of Data Mining and Knowledge Discovery, Tapio Elomaa; Heikki Mannila; Hannu Toivonen
Автор: Jan M. Zytkow; Mohamed Quafafou Название: Principles of Data Mining and Knowledge Discovery ISBN: 3540650687 ISBN-13(EAN): 9783540650683 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Chu Wesley W. Название: Data Mining and Knowledge Discovery for Big Data ISBN: 3642408362 ISBN-13(EAN): 9783642408366 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jan Komorowski; Jan Zytkow Название: Principles of Data Mining and Knowledge Discovery ISBN: 3540632239 ISBN-13(EAN): 9783540632238 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ning Zhong; Lizhu Zhou Название: Methodologies for Knowledge Discovery and Data Mining ISBN: 3540658661 ISBN-13(EAN): 9783540658665 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Krzysztof J. Cios; Witold Pedrycz; Roman W. Swinia Название: Data Mining Methods for Knowledge Discovery ISBN: 1461375576 ISBN-13(EAN): 9781461375579 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jan Zytkow; Jan Rauch Название: Principles of Data Mining and Knowledge Discovery ISBN: 3540664904 ISBN-13(EAN): 9783540664901 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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;
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.
Автор: Mohamed Medhat Gaber Название: Scientific Data Mining and Knowledge Discovery ISBN: 3642426247 ISBN-13(EAN): 9783642426247 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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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