New and Published Books
1-10 of 39 results in Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Algorithms and Applications
Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data...
Published July 24th 2014 by Chapman and Hall/CRC
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 13th 2013 by Chapman and Hall/CRC
Data Mining Use Cases and Business Analytics Applications
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 24th 2013 by Chapman and Hall/CRC
Algorithms and Applications
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 20th 2013 by Chapman and Hall/CRC
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring...
Published July 14th 2013 by Chapman and Hall/CRC
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 3rd 2013 by Chapman and Hall/CRC
Optimization Based Theory, Algorithms, and Extensions
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 16th 2012 by Chapman and Hall/CRC
A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today’s often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures....
Published October 4th 2012 by Chapman and Hall/CRC
Concepts, Algorithms, and Applications
A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more...
Published September 6th 2012 by Chapman and Hall/CRC
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 20th 2012 by Chapman and Hall/CRC
Healthcare Data Analytics
To Be Published May 13th 2015
Graph Analysis in Social Media
To Be Published July 15th 2015
Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation
To Be Published July 31st 2015
Text Mining, Web Mining, and Visualization Use Cases Using Open Source Tools
To Be Published October 26th 2015
Data Mining with R: Learning with Case Studies, Second Edition
To Be Published November 15th 2015