Data Preparation & Mining Books

New and Published Books – Page 3

21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. Spectral Feature Selection for Data Mining

    By Zheng Alan Zhao, Huan Liu

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

    Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified...

    Published December 13th 2011 by Chapman and Hall/CRC
29. Data Mining Tools for Malware Detection

    By Mehedy Masud, Latifur Khan, Bhavani Thuraisingham

    Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step...

    Published December 6th 2011 by Auerbach Publications
30. Machine Learning and Knowledge Discovery for Engineering Systems Health Management

    Edited by Ashok N. Srivastava, Jiawei Han

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

    Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. With contributions from many top authorities on the...

    Published November 15th 2011 by Chapman and Hall/CRC