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

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9781466618060: Intelligent Data Analysis for Real-Life Applications: Theory and Practice
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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.

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About the Author:

José M. Martínez-Martínez received the B.Eng. degree in Telecommunication Engineering in 2006, and the M.Eng degree in Electronics Engineering in 2009, both from the University of Valencia, Spain. He is currently working towards the Ph.D. degree in the IDAL research group, University of Valencia. His research interest is machine learning methods, data mining, and data visualization.

Review:

This handbook provides a state-of-the-art overview of Intelligent Data Analysis methods and a wide range of application domains. Each contribution in this book is clear evidence of the tremendous potential of Machine Learning techniques to make the computers of tomorrow 'smarter.' --Adam E Gaweda, University of Louisville, USA

The 18 papers in this collection explore machine learning techniques for extracting information from large amounts of data with several variables. Six papers from Spanish universities review Bayesian network classifiers, apply computer vision to sorting fruit, describe data visualization for industrial processes, and propose agent-based systems for reading engineering sketches. Other topics include landmark sliding from 3D shape correspondence, detecting impact craters in planetary images, probabilistic graphical models for sports video mining, automatic text classification from labeled and unlabeled data, and the impact of enterprises' organizational quality on their economic results. B&w images and diagrams are provided. --Annotation ©2012 Book News Inc. Portland, OR

The 18 papers in this collection explore machine learning techniques for extracting information from large amounts of data with several variables. Six papers from Spanish universities review Bayesian network classifiers, apply computer vision to sorting fruit, describe data visualization for industrial processes, and propose agent-based systems for reading engineering sketches. Other topics include landmark sliding from 3D shape correspondence, detecting impact craters in planetary images, probabilistic graphical models for sports video mining, automatic text classification from labeled and unlabeled data, and the impact of enterprises' organizational quality on their economic results. B&w images and diagrams are provided. --Annotation ©2012 Book News Inc. Portland, OR

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Book Description Idea Group,U.S., United States, 2012. Hardback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Seller Inventory # APC9781466618060

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Book Description Information Science Reference. Hardcover. Condition: New. 444 pages. Dimensions: 11.2in. x 8.8in. x 1.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Seller Inventory # 9781466618060

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