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Rough Sets in Knowledge Discovery 2, Lech Polkowski


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Цена: 41787.00р.
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Автор: Lech Polkowski
Название:  Rough Sets in Knowledge Discovery 2
ISBN: 9783790824599
Издательство: Springer
Классификация:


ISBN-10: 3790824593
Обложка/Формат: Paperback
Страницы: 601
Вес: 0.84 кг.
Дата издания: 21.10.2010
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 32
Основная тема: Business and Management
Подзаголовок: Applications, Case Studies and Software Systems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. Therefore many concepts dwelled on in rough set theory are not entirely new, nevertheless the theory can be viewed as an independent discipline on its own rights.


Advances in Knowledge Discovery and Management

Автор: Fabrice Guillet; Gilbert Ritschard; Djamel Abdelka
Название: Advances in Knowledge Discovery and Management
ISBN: 3642427790 ISBN-13(EAN): 9783642427794
Издательство: Springer
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Цена: 18284.00 р.
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Описание: KDM, which includes techniques such as data mining and business intelligence, is a fruitful research topic in the French-speaking scientific community, where it is known as EGC. This volume is a selection of the best papers from the EGC 2010 conference.

Advances in Knowledge Discovery and Management

Автор: Fabrice Guillet; Gilbert Ritschard; Djamel A. Zigh
Название: Advances in Knowledge Discovery and Management
ISBN: 3642263712 ISBN-13(EAN): 9783642263712
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Reflecting recent advances in the field of data mining and knowledge discovery achieved by Francophone scientists in France and elsewhere, this collection of extended and reworked papers were originally presented at the EGC 2009 conference in Strasbourg.

Advances in Knowledge Discovery and Management

Автор: Fabrice Guillet; Bruno Pinaud; Gilles Venturini
Название: Advances in Knowledge Discovery and Management
ISBN: 3319457624 ISBN-13(EAN): 9783319457628
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks.
Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.
Advances in Knowledge Discovery and Management

Автор: Fabrice Guillet; Gilbert Ritschard; Djamel A. Zigh
Название: Advances in Knowledge Discovery and Management
ISBN: 3642005799 ISBN-13(EAN): 9783642005794
Издательство: Springer
Рейтинг:
Цена: 30606.00 р.
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Описание: Reflecting recent advances in the field of data mining and knowledge discovery achieved by Francophone scientists in France and elsewhere, this collection of extended and reworked papers were originally presented at the EGC 2009 conference in Strasbourg.

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.

Machine Learning and Knowledge Discovery in Databases

Автор: Berendt
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319461303 ISBN-13(EAN): 9783319461304
Издательство: Springer
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Цена: 8106.00 р.
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Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Machine Learning and Knowledge Discovery in Databases

Автор: Frasconi
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319462261 ISBN-13(EAN): 9783319462264
Издательство: Springer
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Цена: 13696.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Machine Learning and Knowledge Discovery in Databases

Автор: Frasconi
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319461273 ISBN-13(EAN): 9783319461274
Издательство: Springer
Рейтинг:
Цена: 13696.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Big Data Analytics and Knowledge Discovery

Автор: Madria
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319439456 ISBN-13(EAN): 9783319439457
Издательство: Springer
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Цена: 8106.00 р.
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Описание: The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data Learning and Security, Graph Databases and Data Warehousing, Data Intelligence and Technology.

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.

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.

Advances in Knowledge Discovery and Management

Автор: Fabrice Guillet; Bruno Pinaud; Gilles Venturini; D
Название: Advances in Knowledge Discovery and Management
ISBN: 3642358543 ISBN-13(EAN): 9783642358548
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Collecting extended and improved versions of papers presented at the EGC 2011 Conference, this book covers rule and pattern data mining with topological approaches and with OLAP, and also examines user-centered approaches to knowledge discovery and management.


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