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Data Preparation & Mining Books

You are currently browsing 31–40 of 134 new and published books in the subject of Data Preparation & Mining — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 4

  1. Getting Started with Business Analytics

    Insightful Decision-Making

    By David Roi Hardoon, Galit Shmueli

    Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial...

    Published March 26th 2013 by Chapman and Hall/CRC

  2. Linked Data

    A Geographic Perspective

    By Glen Hart, Catherine Dolbear

    Geographic Information has an important role to play in linking and combining datasets through shared location, but the potential is still far from fully realized because the data is not well organized and the technology to aid this process has not been available. Developments in the Semantic Web...

    Published January 28th 2013 by CRC Press

  3. Support Vector Machines

    Optimization Based Theory, Algorithms, and Extensions

    By Naiyang Deng, Yingjie Tian, Chunhua Zhang

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)—classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs...

    Published December 17th 2012 by Chapman and Hall/CRC

  4. Internet-Scale Pattern Recognition

    New Techniques for Voluminous Data Sets and Data Clouds

    By Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution

    For machine intelligence applications to work successfully, machines must perform reliably under variations of data and must be able to keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational models that address...

    Published November 20th 2012 by Chapman and Hall/CRC

  5. Risk Assessment and Decision Analysis with Bayesian Networks

    By Norman Fenton, Martin Neil

    Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains...

    Published November 7th 2012 by CRC Press

  6. Data Mining for Bioinformatics

    By Sumeet Dua, Pradeep Chowriappa

    Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the...

    Published November 6th 2012 by CRC Press

  7. Clustering

    A Data Recovery Approach, Second Edition

    By Boris Mirkin

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical...

    Published October 17th 2012 by Chapman and Hall/CRC

  8. Service-Oriented Distributed Knowledge Discovery

    By Domenico Talia, Paolo Trunfio

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today’s often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures....

    Published October 5th 2012 by Chapman and Hall/CRC

  9. Contrast Data Mining

    Concepts, Algorithms, and Applications

    Edited by Guozhu Dong, James Bailey

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more...

    Published September 7th 2012 by Chapman and Hall/CRC

  10. Developing Essbase Applications

    Advanced Techniques for Finance and IT Professionals

    Edited by Cameron Lackpour

    If you love Essbase and hate seeing it misused, then this is the book for you. Written by 12 Essbase professionals that are either acknowledged Essbase gurus or certified Oracle ACEs, Developing Essbase Applications: Advanced Techniques for Finance and IT Professionals provides an unparalleled...

    Published June 13th 2012 by Auerbach Publications