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Research and Development in Knowledge Discovery and Data Mining, Xindong Wu; Ramamohanarao Kotagiri; Kevin B. Korb


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Автор: Xindong Wu; Ramamohanarao Kotagiri; Kevin B. Korb
Название:  Research and Development in Knowledge Discovery and Data Mining
ISBN: 9783540643838
Издательство: Springer
Классификация:


ISBN-10: 3540643834
Обложка/Формат: Paperback
Страницы: 434
Вес: 0.63 кг.
Дата издания: 08.04.1998
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 23
Основная тема: Computer Science
Подзаголовок: Second Pacific-Asia Conference, PAKDD'98, Melbourne, Australia, April 15-17, 1998, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

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: 130390.00 T
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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).

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: 46590.00 T
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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.

Advances in Knowledge Discovery and Data Mining

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
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Цена: 102480.00 T
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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;

Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319575287 ISBN-13(EAN): 9783319575285
Издательство: Springer
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Цена: 102480.00 T
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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;

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: 97820.00 T
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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.

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: 121890.00 T
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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.

Trends and Applications in Knowledge Discovery and Data Mining

Автор: U Kang; Ee-Peng Lim; Jeffrey Xu Yu; Yang-Sae Moon
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319672738 ISBN-13(EAN): 9783319672731
Издательство: Springer
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Цена: 51230.00 T
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Описание: The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

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: 3319066048 ISBN-13(EAN): 9783319066042
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.

Scientific Data Mining and Knowledge Discovery

Автор: Mohamed Medhat Gaber
Название: Scientific Data Mining and Knowledge Discovery
ISBN: 3642426247 ISBN-13(EAN): 9783642426247
Издательство: Springer
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Цена: 121110.00 T
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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.

Principles of Data Mining and Knowledge Discovery

Автор: Djamel A. Zighed; Jan Komorowski; Jan Zytkow
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 354041066X ISBN-13(EAN): 9783540410669
Издательство: Springer
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Цена: 111790.00 T
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Описание: This work offers sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.

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: 74530.00 T
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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.

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: 81050.00 T
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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.


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