Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

New and Published Books

1-10 of 26 results in Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

1. 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 & Hall
2. 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 & Hall
3. Music Data Mining

   Edited by Tao Li, Mitsunori Ogihara, George Tzanetakis

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

   The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers,...

   Published July 11th 2011 by CRC Press
4. Mining Software Specifications

   Methodologies and Applications

   Edited by David Lo, Siau-Cheng Khoo, Jiawei Han, Chao Liu

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

   An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes...

   Published May 23rd 2011 by CRC Press
5. Data Clustering in C++

   An Object-Oriented Approach

   By Guojun Gan

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

   Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering...

   Published March 27th 2011 by Chapman & Hall
6. Data Mining Using SAS Applications

   By George Fernandez

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

   Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet...

   Published December 11th 2010 by Chapman & Hall
7. Privacy-Aware Knowledge Discovery

   Novel Applications and New Techniques

   Edited by Francesco Bonchi, Elena Ferrari

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

   Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and...

   Published December 1st 2010 by CRC Press
8. Data Mining with R

   Learning with Case Studies

   By Luis Torgo

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

   The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the...

   Published November 8th 2010 by Chapman & Hall
9. Handbook of Educational Data Mining

   Edited by Cristobal Romero, Sebastian Ventura, Mykola Pechenizkiy, Ryan S.J.d. Baker

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

   Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25...

   Published October 24th 2010 by CRC Press
10. Introduction to Privacy-Preserving Data Publishing

    Concepts and Techniques

    By Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu

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

    Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of...

    Published August 1st 2010 by Chapman & Hall