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Managing and Mining Sensor Data, Charu C. Aggarwal


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Цена: 18167.00р.
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Автор: Charu C. Aggarwal
Название:  Managing and Mining Sensor Data
ISBN: 9781489992383
Издательство: Springer
Классификация:



ISBN-10: 1489992383
Обложка/Формат: Paperback
Страницы: 534
Вес: 0.76 кг.
Дата издания: 26.06.2015
Язык: English
Размер: 234 x 156 x 28
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process.


Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking

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.
Наличие на складе: Есть (1 шт.)
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.

Matrix Methods in Data Mining and Pattern Recognition

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.
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.

Data Mining and Knowledge Discovery via Logic-Based Methods

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1441916296 ISBN-13(EAN): 9781441916297
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Agents and Data Mining Interaction

Автор: Longbing Cao; A.E. Gorodetsky; Jiming Liu; Gerhard
Название: Agents and Data Mining Interaction
ISBN: 3642036023 ISBN-13(EAN): 9783642036026
Издательство: Springer
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Цена: 9781.00 р.
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Описание: 4th International Workshop on Agents and Data Mining Interaction ADMI 2009 Budapest Hungary May 101. .

Managing and Mining Sensor Data

Автор: Charu C. Aggarwal
Название: Managing and Mining Sensor Data
ISBN: 1461463084 ISBN-13(EAN): 9781461463085
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process.

Managing and Mining Graph Data

Автор: Charu C. Aggarwal; Haixun Wang
Название: Managing and Mining Graph Data
ISBN: 1461425603 ISBN-13(EAN): 9781461425601
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy.

Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.

Автор: Witten, Ian H.
Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.
ISBN: 0128042915 ISBN-13(EAN): 9780128042915
Издательство: Elsevier Science
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Цена: 9262.00 р.
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Описание:

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.

Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.

Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.

It contains

  • Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
  • Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
  • Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

  • Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
  • Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
  • Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
  • Includes open-access online courses that introduce practical applications of the material in the book
Foundations and Novel Approaches in Data Mining

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.

Managing and Mining Uncertain Data

Автор: Charu C. Aggarwal
Название: Managing and Mining Uncertain Data
ISBN: 1441935177 ISBN-13(EAN): 9781441935175
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This collection of surveys presents the most recent models, algorithms and applications in mining uncertain data. Organized to make it more accessible to applications-driven practitioners, it includes case studies based on real-world examples.

Data Mining Techniques in Sensor Networks

Автор: Annalisa Appice; Anna Ciampi; Fabio Fumarola; Dona
Название: Data Mining Techniques in Sensor Networks
ISBN: 1447154533 ISBN-13(EAN): 9781447154532
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data.

Data Mining for Dummies

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.

Transparent data mining for big and small data.

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.


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