Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
About the Book Series
As the field of data mining and knowledge discovery continues to grow, the timely dissemination of emerging research has become increasingly important both in math and stats, as well as across a range of disciplines seeking to take advantage of the wealth of data made available through informatics. This series aims to capture new developments and applications in data mining and knowledge discovery, while summarizing the computational tools and techniques useful in data analysis. This series is being established to encourage the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and handbooks. We are looking to include those single author and contributed works that will—
- Provide introductory and advanced instructional and reference material for students and professionals in the mathematical, statistical, and computational sciences
- Supply researchers with the latest discoveries and the resources they need to advance the field
- Offer assistance to those interdisciplinary researchers and practitioners seeking to make use of data mining technology without advanced mathematical backgrounds
The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of data mining and knowledge discovery methods and applications, modeling, algorithms, theory and foundations, data and knowledge visualization, data mining systems and tools, and privacy and security issues. We are willing to consider other relevant topics that might be proposed by potential contributors.
Biological Data Mining
1st Edition
Edited
By Jake Y. Chen, Stefano Lonardi
June 07, 2017
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter ...
Data Mining for Design and Marketing
1st Edition
Edited
By Yukio Ohsawa, Katsutoshi Yada
June 07, 2017
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems. The expert contributors discuss how data mining can identify valuable ...
Data Mining: A Tutorial-Based Primer, Second Edition
2nd Edition
By Richard J. Roiger
December 01, 2016
Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and ...
Advances in Machine Learning and Data Mining for Astronomy
1st Edition
Edited
By Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava
November 16, 2016
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount ...
Computational Intelligent Data Analysis for Sustainable Development
1st Edition
Edited
By Ting Yu, Nitesh Chawla, Simeon Simoff
October 19, 2016
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 ...
Computational Business Analytics
1st Edition
By Subrata Das
December 14, 2013
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...
RapidMiner: Data Mining Use Cases and Business Analytics Applications
1st Edition
Edited
By Markus Hofmann, Ralf Klinkenberg
October 25, 2013
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 ...
Data Clustering: Algorithms and Applications
1st Edition
Edited
By Charu C. Aggarwal, Chandan K. Reddy
August 21, 2013
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, ...
Practical Graph Mining with R
1st Edition
Edited
By Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty
July 15, 2013
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 ...
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions
1st Edition
By Naiyang Deng, Yingjie Tian, Chunhua Zhang
December 17, 2012
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...
Contrast Data Mining: Concepts, Algorithms, and Applications
1st Edition
Edited
By Guozhu Dong, James Bailey
September 07, 2012
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 ...
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
1st Edition
Edited
By Ashok N. Srivastava, Jiawei Han
November 16, 2011
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 ...