Data Mining and Big Data, Tan

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: 16769.00 р.
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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: 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.

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: 9029.00 р.
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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 and Novel Approaches in Data Mining
ISBN: 364206650X ISBN-13(EAN): 9783642066504
Издательство: Springer
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Цена: 30606.00 р.
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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.

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: 27251.00 р.
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Автор: Wesley Chu; Tsau Young Lin
Название: Foundations and Advances in Data Mining
ISBN: 3642425380 ISBN-13(EAN): 9783642425387
Издательство: Springer
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Цена: 27251.00 р.
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Описание: The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Автор: Charu C. Aggarwal; Philip S. Yu
Название: Privacy-Preserving Data Mining
ISBN: 1441943714 ISBN-13(EAN): 9781441943712
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This book proposes a number of techniques to perform data mining tasks in a privacy-preserving way. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively.

Автор: Petra Perner
Название: Advances in Data Mining. Applications and Theoretical Aspects
ISBN: 3642030661 ISBN-13(EAN): 9783642030666
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society.

Автор: Djamel A. Zighed; Shusaku Tsumoto; Zbigniew W. Ras
Название: Mining Complex Data
ISBN: 3540880666 ISBN-13(EAN): 9783540880660
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g.

Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit
Название: Swarm Intelligence for Multi-objective Problems in Data Mining
ISBN: 3642036244 ISBN-13(EAN): 9783642036248
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

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: 21661.00 р.
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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: 9781.00 р.
Наличие на складе: Нет в наличии.

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.