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Machine Learning and Knowledge Discovery in Databases, Frasconi


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Цена: 13696.00р.
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Автор: Frasconi
Название:  Machine Learning and Knowledge Discovery in Databases
ISBN: 9783319462264
Издательство: Springer
Классификация:



ISBN-10: 3319462261
Обложка/Формат: Paperback
Страницы: 825
Вес: 1.29 кг.
Дата издания: 2016
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Иллюстрации: 205 black & white illustrations, biography
Размер: 234 x 156 x 43
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
Ссылка на Издательство: Link
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Поставляется из: Германии
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: 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: 3319461273 ISBN-13(EAN): 9783319461274
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.

Data Mining: Practical Machine Learning Tools and Techniques,

Автор: Ian H. Witten
Название: Data Mining: Practical Machine Learning Tools and Techniques,
ISBN: 0123748569 ISBN-13(EAN): 9780123748560
Издательство: Elsevier Science
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Цена: 8695.00 р.
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Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>

Advances in Knowledge Discovery and Data Mining

Автор: Takashi Washio; Einoshin Suzuki; Kai Ming Ting; Ak
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3540681248 ISBN-13(EAN): 9783540681243
Издательство: Springer
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Цена: 22359.00 р.
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Описание: 12th Pacific-Asia Conference PAKDD 2008 Osaka Japan May 20-23 2008 Proceedings.

Data Warehousing and Knowledge Discovery

Автор: Il-Yeol Song; Johann Eder; Tho Manh Nguyen
Название: Data Warehousing and Knowledge Discovery
ISBN: 3540858350 ISBN-13(EAN): 9783540858355
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Includes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008. This book contains 40 papers that were selected from 143 submissions.

Knowledge Discovery from Sensor Data

Автор: Mohamed Medhat Gaber; Ranga Raju Vatsavai; Olufemi
Название: Knowledge Discovery from Sensor Data
ISBN: 3642125182 ISBN-13(EAN): 9783642125188
Издательство: Springer
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Цена: 9781.00 р.
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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.
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.

Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All

Автор: Miltiadis D. Lytras; Patricia Ord??ez de Pablos; E
Название: Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All
ISBN: 3642047564 ISBN-13(EAN): 9783642047565
Издательство: Springer
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Цена: 19564.00 р.
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Описание: It is a great pleasure to share with you the Springer LNCS proceedings of the Second World Summit on the Knowledge Society, WSKS 2009, organized by the Open - search Society, Ngo, http://www.open-knowledge-society.org, and held in Samaria Hotel, in the beautiful city of Chania in Crete, Greece, September 16-18, 2009.

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

Автор: Jacek Mandziuk
Название: Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
ISBN: 3642116779 ISBN-13(EAN): 9783642116773
Издательство: Springer
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Цена: 20962.00 р.
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Principles and Theory for Data Mining and Machine Learning

Автор: Clarke
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 0387981349 ISBN-13(EAN): 9780387981345
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Extensive treatment of the most up-to-date topicsProvides the theory and concepts behind popular and emerging methodsRange of topics drawn from Statistics, Computer Science, and Electrical Engineering


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