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Data Preparation & Mining Books

You are currently browsing 21–30 of 130 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 3

  1. Knowledge and Systems Science

    Enabling Systemic Knowledge Synthesis

    By Yoshiteru Nakamori

    Integrating ideas from the fields of systems science and knowledge science, Knowledge and Systems Science: Enabling Systemic Knowledge Synthesis shows how to create and justify various pieces of knowledge systemically. Written by one of the foremost experts in this area, the book presents...

    Published July 12th 2013 by Chapman and Hall/CRC

  2. Applying Analytics

    A Practical Introduction

    By E. S. Levine

    Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private...

    Published June 21st 2013 by Chapman and Hall/CRC

  3. Data Mining Mobile Devices

    By Jesus Mena

    With today’s consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.Data Mining Mobile Devices defines the...

    Published June 18th 2013 by Auerbach Publications

  4. Applied Data Mining

    By Guandong Xu, Yu Zong, Zhenglu Yang

    Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap...

    Published June 17th 2013 by CRC Press

  5. Data-Intensive Science

    Edited by Terence Critchlow, Kerstin Kleese van Dam

    Series: Chapman & Hall/CRC Computational Science

    Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers,...

    Published June 3rd 2013 by Chapman and Hall/CRC

  6. Computational Intelligent Data Analysis for Sustainable Development

    Edited by Ting Yu, Nitesh Chawla, Simeon Simoff

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

    Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational...

    Published April 4th 2013 by Chapman and Hall/CRC

  7. 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

  8. 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

  9. 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

  10. 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

Forthcoming Books

  1. Data Classification: Algorithms and Applications
    Edited by Charu C. Aggarwal
    To Be Published July 28th 2014
  2. Big Data Analytics Strategies for the Smart Grid
    By Carol L. Stimmel
    To Be Published August 4th 2014
  3. Ambient Diagnostics
    By Yang Cai
    To Be Published August 5th 2014
  4. Robust Cluster Analysis and Variable Selection
    By Gunter Ritter
    To Be Published September 1st 2014
  5. Machine Learning: An Algorithmic Perspective, Second Edition
    By Stephen Marsland
    To Be Published October 6th 2014

Find more forthcoming books