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Knowledge Discovery for Complex Data

By IGI Global on Sep 10, 2010
Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. In order to fulfill the need for research covering this subject area, IGI Global, an information science and technology publisher, presents one of its newest releases, Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains, edited by A.V. Senthil Kumar, CMS College of Science and Commerce, India. This title introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

As the editor, Dr. Kumar contends, "In light of the tremendous amount of fast-growing and sophisticated types of data and comprehensive data analysis tasks, data mining technology may be only in its infancy, as the technology is still far from adequate for handling the large-scale and complex emerging application problems. Research is needed to develop highly automated, scalable, integrated reliable data mining systems and tools. Moreover, it is important to promote information exchange among users, data analysts, system developers, and data mining researchers to facilitate the advances available from data mining research, application development and technology transfer. The book incorporates various advanced data mining techniques and algorithms in emerging domains. Implementation of advanced data mining techniques will be very helpful for scientists, engineers, and physicians as well as researchers, and infrastructures that support them. In addition to these, as researchers revealed data mining is the process of automatic discovery of patterns, transformations, associations and anomalies in massive databases, and is a highly interdisciplinary field representing the confluence of multiple disciplines, such as database systems, data warehousing, machine learning, statistics, algorithms, data visualization, and high-performance computing. Utilizing advanced data mining techniques in emerging domains like stream data mining, mining multi-agent data, mining semantic web, ubiquitous knowledge discovery etc. can improve data mining process."

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

This premier reference source contains work from a global network of data mining experts. Researchers and practitioners in a variety of disciplines will find these data mining applications useful in their fields. For more information on this title, please visit:
www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=41899.

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