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Intelligent Data Analysis for Real-Life Applications: Theory and Practice

Intelligent Data Analysis for Real-Life Applications: Theory and Practice

Copyright: © 2012 |Pages: 444
ISBN13: 9781466618060|ISBN10: 146661806X|EISBN13: 9781466618077
DOI: 10.4018/978-1-4666-1806-0
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MLA

Magdalena-Benedito, Rafael, et al., editors. Intelligent Data Analysis for Real-Life Applications: Theory and Practice. IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1806-0

APA

Magdalena-Benedito, R., Martínez-Sober, M., Martínez-Martínez, J. M., Vila-Francés, J., & Escandell-Montero, P. (Eds.). (2012). Intelligent Data Analysis for Real-Life Applications: Theory and Practice. IGI Global. https://doi.org/10.4018/978-1-4666-1806-0

Chicago

Magdalena-Benedito, Rafael, et al., eds. Intelligent Data Analysis for Real-Life Applications: Theory and Practice. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1806-0

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With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task.

Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Foreword
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Preface
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Chapters
Machine Learning Methods Applied to Real-World Problems
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Machine Learning Applications in Computer Vision
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Chapter 3
Other Machine Learning Applications
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Back Materials
Compilation of References
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About the Contributors
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Index
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