Domain Driven Data Mining, Longbing Cao; Philip S. Yu; Chengqi Zhang; Yanchan

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
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Цена: 6334.00 р.
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Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Автор: Torgo
Название: Data Mining with R
ISBN: 1439810184 ISBN-13(EAN): 9781439810187
Издательство: Taylor&Francis
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Цена: 9951.00 р.
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Описание: This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code.

Автор: Djamel A. Zighed; Shusaku Tsumoto; Zbigniew W. Ras
Название: Mining Complex Data
ISBN: 3642099807 ISBN-13(EAN): 9783642099809
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: Zbigniew W. Ras; Shusaku Tsumoto; Djamel A. Zighed
Название: Mining Complex Data
ISBN: 3540684158 ISBN-13(EAN): 9783540684152
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007.

Автор: Evangelos Triantaphyllou; Giovanni Felici
Название: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
ISBN: 1441941738 ISBN-13(EAN): 9781441941732
Издательство: Springer
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Цена: 33401.00 р.
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Описание: This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications.

Автор: Wei Wang; Jiong Yang
Название: Mining Sequential Patterns from Large Data Sets
ISBN: 1441937072 ISBN-13(EAN): 9781441937070
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Related Work.- Periodic Patterns.- Statistically Significant Patterns.- Approximate Patterns.- Conclusion Remark.

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: 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.

Автор: Da Ruan; Guoqing Chen; Etienne E. Kerre; Geert Wet
Название: Intelligent Data Mining
ISBN: 3642065767 ISBN-13(EAN): 9783642065767
Издательство: Springer
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Цена: 36570.00 р.
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Описание: "Intelligent Data Mining - Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications.

Автор: Brown Meta S.
Название: Data Mining for Dummies
ISBN: 1118893174 ISBN-13(EAN): 9781118893173
Издательство: Wiley
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Цена: 5067.00 р.
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Описание: Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum.

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.