Data Mining and Big Data, Tan

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.

Автор: Chu Wesley W.
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3642408362 ISBN-13(EAN): 9783642408366
Издательство: Springer
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Цена: 139310.00 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.

Автор: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
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Цена: 60190.00 T
Наличие на складе: Поставка под заказ.
Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 364243228X ISBN-13(EAN): 9783642432286
Издательство: Springer
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Цена: 181670.00 T
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Автор: Dominik Slezak; JingTao Yao; James F. Peters; Wojc
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 3540286608 ISBN-13(EAN): 9783540286608
Издательство: Springer
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Цена: 121110.00 T
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Описание: Contains papers from the proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005 in 2 volumes.

Автор: Sameer Singh; Maneesha Singh; Chid Apte; Petra Per
Название: Pattern Recognition and Data Mining
ISBN: 3540287574 ISBN-13(EAN): 9783540287575
Издательство: Springer
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Цена: 111790.00 T
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Описание: Constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005.

Автор: Dominik Slezak; Marcin Szczuka; Ivo Duentsch; Yiyu
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 3540286535 ISBN-13(EAN): 9783540286530
Издательство: Springer
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Цена: 121110.00 T
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Описание: Part of a two volume set, this title includes information related to rough set approximations, rough-algebraic foundations, feature selection and reduction, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, probabilistic network models, granular computing, and more.

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 3540262571 ISBN-13(EAN): 9783540262572
Издательство: Springer
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Цена: 181670.00 T
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 1461417074 ISBN-13(EAN): 9781461417071
Издательство: Springer
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Цена: 144410.00 T
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Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.

Автор: С.Aggarwal
Название: Data Mining: The Textbook
ISBN: 3319141414 ISBN-13(EAN): 9783319141411
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Поставка под заказ.
Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

Автор: Cerquitelli, Tania, Quercia, Daniele, Pasquale, Frank (Eds.)
Название: Transparent data mining for big and small data.
ISBN: 3319540238 ISBN-13(EAN): 9783319540238
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions.

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 364206650X ISBN-13(EAN): 9783642066504
Издательство: Springer
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Цена: 204040.00 T
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Описание: Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research.