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Data Preparation & Mining Books

You are currently browsing 41–50 of 127 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 5

  1. A Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework

    UNESCO-IHE PhD Thesis

    By Ahmad Fikri Bin Abdullah

    The consequences of recent floods and flash floods in many parts of the world have been devastating. One way to improving flood management practice is to invest in data collection and modelling activities which enable an understanding of the functioning of a system and the selection of...

    Published April 14th 2012 by Taylor & Francis

  2. Advances in Machine Learning and Data Mining for Astronomy

    Edited by Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava

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

    Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount...

    Published March 28th 2012 by Chapman and Hall/CRC

  3. TV Content Analysis

    Techniques and Applications

    Edited by Yiannis Kompatsiaris, Bernard Merialdo, Shiguo Lian

    Series: Multimedia Computing, Communication and Intelligence

    The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content...

    Published March 18th 2012 by Auerbach Publications

  4. Foundations of Predictive Analytics

    By James Wu, Stephen Coggeshall

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

    Drawing on the authors’ two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing...

    Published February 14th 2012 by Chapman and Hall/CRC

  5. Manifold Learning Theory and Applications

    Edited by Yunqian Ma, Yun Fu

    Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these...

    Published December 19th 2011 by CRC Press

  6. Understanding Information Retrieval Systems

    Management, Types, and Standards

    Edited by Marcia J. Bates

    In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management...

    Published December 19th 2011 by Auerbach Publications

  7. Cost-Sensitive Machine Learning

    Edited by Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training data Cost of data annotation/labeling and cleaning Computational cost for model fitting, validation, and testing Cost of collecting...

    Published December 18th 2011 by CRC Press

  8. Statistical and Machine-Learning Data Mining

    Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

    By Bruce Ratner

    The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled...

    Published December 18th 2011 by CRC Press

  9. Statistical Learning and Data Science

    Edited by Mireille Gettler Summa, Leon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, Myriam Touati

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

    Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new...

    Published December 18th 2011 by Chapman and Hall/CRC

  10. Practical Data Mining

    By Monte F. Hancock, Jr.

    Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical...

    Published December 18th 2011 by Auerbach Publications

Forthcoming Books

  1. Linked Data Management
    Edited by Andreas Harth, Katja Hose, Ralf Schenkel
    To Be Published May 7th 2014
  2. Ambient Diagnostics
    By Yang Cai
    To Be Published June 18th 2014
  3. Large Scale and Big Data: Processing and Management
    Edited by Sherif Sakr, Mohamed Gaber
    To Be Published June 19th 2014
  4. Data Classification: Algorithms and Applications
    Edited by Charu C. Aggarwal
    To Be Published June 23rd 2014
  5. Robust Cluster Analysis and Variable Selection
    By Gunter Ritter
    To Be Published August 26th 2014

Find more forthcoming books