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Data Preparation & Mining Books

You are currently browsing 31–40 of 91 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. Intelligent Technologies for Web Applications

    By Priti Srinivas Sajja, Rajendra Akerkar

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

    The Internet has become an integral part of human life, yet the web still utilizes mundane interfaces to the physical world, which makes Internet operations somewhat mechanical, tedious, and less human-oriented. Filling a large void in the literature, Intelligent Technologies for Web Applications...

    Published May 21st 2012 by Chapman and Hall/CRC

  2. Web 2.0 and Beyond

    Principles and Technologies

    By Paul Anderson

    Series: Chapman & Hall/CRC Textbooks in Computing

    Web 2.0 and Beyond: Principles and Technologies draws on the author’s iceberg model of Web 2.0, which places the social Web at the tip of the iceberg underpinned by a framework of technologies and ideas. The author incorporates research from a range of areas, including business, economics,...

    Published May 15th 2012 by Chapman and Hall/CRC

  3. Customer and Business Analytics

    Applied Data Mining for Business Decision Making Using R

    By Daniel S. Putler, Robert E. Krider

    Series: Chapman & Hall/CRC The R Series

    Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying...

    Published May 7th 2012 by Chapman and Hall/CRC

  4. Machine-to-Machine Marketing (M3) via Anonymous Advertising Apps Anywhere Anytime (A5)

    By Jesus Mena

    In today’s wireless environment, marketing is more frequently occurring at the server-to-device level—with that device being anything from a laptop or phone to a TV or car. In this real-time digital marketplace, human attributes such as income, marital status, and age are not the most reliable...

    Published May 2nd 2012 by Auerbach Publications

  5. 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 15th 2012 by CRC Press

  6. 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 29th 2012 by Chapman and Hall/CRC

  7. 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 19th 2012 by Auerbach Publications

  8. 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 19th 2011 by CRC Press

  9. 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 19th 2011 by CRC Press

  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 19th 2011 by Auerbach Publications