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.
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.