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Data Preparation & Mining Books

You are currently browsing 11–20 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 2

  1. Computational Business Analytics

    By Subrata Das

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

    Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety...

    Published December 14th 2013 by Chapman and Hall/CRC

  2. Multilinear Subspace Learning

    Dimensionality Reduction of Multidimensional Data

    By Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos

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

    Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient...

    Published December 11th 2013 by Chapman and Hall/CRC

  3. Big Data Computing

    Edited by Rajendra Akerkar

    Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field...

    Published December 5th 2013 by Chapman and Hall/CRC

  4. Natural Language Processing

    Semantic Aspects

    By Epaminondas Kapetanios, Doina Tatar, Christian Sacarea

    This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also...

    Published November 14th 2013 by CRC Press

  5. Multi-Label Dimensionality Reduction

    By Liang Sun, Shuiwang Ji, Jieping Ye

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

    Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data...

    Published November 4th 2013 by Chapman and Hall/CRC

  6. RapidMiner

    Data Mining Use Cases and Business Analytics Applications

    Edited by Markus Hofmann, Ralf Klinkenberg

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

    Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making...

    Published October 25th 2013 by Chapman and Hall/CRC

  7. Expert Bytes

    Computer Expertise in Forensic Documents - Players, Needs, Resources and Pitfalls

    By Vlad Atanasiu

    Expert Bytes: Computer Expertise in Forensic Documents — Players, Needs, Resources and Pitfalls —introduces computer scientists and forensic document examiners to the computer expertise of forensic documents and assists them with the design of research projects in this interdisciplinary field....

    Published September 11th 2013 by CRC Press

  8. Foundations of Fuzzy Logic and Semantic Web Languages

    By Umberto Straccia

    Series: Chapman & Hall/CRC Studies in Informatics Series

    Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing...

    Published August 27th 2013 by Chapman and Hall/CRC

  9. Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

    Edited by John J. McArdle, Gilbert Ritschard

    Series: Quantitative Methodology Series

    This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that...

    Published August 27th 2013 by Routledge

  10. Data Clustering

    Algorithms and Applications

    Edited by Charu C. Aggarwal, Chandan K. Reddy

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

    Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering,...

    Published August 21st 2013 by Chapman and Hall/CRC