Data Mining and Knowledge Discovery for Process Monitoring and Control, Xue Z. Wang
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 Рейтинг: Цена: 222670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Xue Z. Wang Название: Data Mining and Knowledge Discovery for Process Monitoring and Control ISBN: 1447111370 ISBN-13(EAN): 9781447111375 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Huan Liu; Hiroshi Motoda Название: Feature Selection for Knowledge Discovery and Data Mining ISBN: 079238198X ISBN-13(EAN): 9780792381983 Издательство: Springer Рейтинг: Цена: 250630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Shows the essence of representative feature selection methods and compares them using data sets with combinations of intrinsic properties according to the objective of feature selection. This book suggests guidelines on how to use different methods under various circumstances and points challenges in this area. It is intended as a reference book.
Автор: Mohamed Medhat Gaber Название: Scientific Data Mining and Knowledge Discovery ISBN: 3642426247 ISBN-13(EAN): 9783642426247 Издательство: Springer Рейтинг: Цена: 121110.00 T 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.
Автор: Cao Название: Trends and Applications in Knowledge Discovery and Data Mining ISBN: 3319429957 ISBN-13(EAN): 9783319429953 Издательство: Springer Рейтинг: Цена: 46590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu-Bao Ho; Dav Название: Advances in Knowledge Discovery and Data Mining ISBN: 3319180312 ISBN-13(EAN): 9783319180311 Издательство: Springer Рейтинг: Цена: 81990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: James Bailey; Latifur Khan; Takashi Washio; Gill D Название: Advances in Knowledge Discovery and Data Mining ISBN: 3319317520 ISBN-13(EAN): 9783319317526 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016. The 91 full papers were carefully reviewed andselected from 307 submissions.
Автор: James Bailey; Latifur Khan; Takashi Washio; Gill D Название: Advances in Knowledge Discovery and Data Mining ISBN: 3319317490 ISBN-13(EAN): 9783319317496 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016. The 91 full papers were carefully reviewed andselected from 307 submissions.
Автор: Valery A. Petrushin; Latifur Khan Название: Multimedia Data Mining and Knowledge Discovery ISBN: 1447160134 ISBN-13(EAN): 9781447160137 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Paul Stolorz; Ron Musick Название: Scalable High Performance Computing for Knowledge Discovery and Data Mining ISBN: 0792380975 ISBN-13(EAN): 9780792380979 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Scalable High Performance Computing for Knowledge Discovery and Data Mining brings together in one place important contributions and up-to-date research results in this fast moving area.
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: 97820.00 T 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.
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