In many decision support fields, the data that is exploited is becoming more and more complex. To take this phenomenon into account, classical architectures of data warehouses or data mining algorithms must be completely re-evaluated. "Processing and Managing Complex Data for Decision Support" provides readers with an overview of the emerging field of complex data processing by bringing together various research studies and surveys in different subfields, and by highlighting the similarities between the different data, issues, and approaches. This book deals with important topics, such as: complex data warehousing, including spatial, XML, and text warehousing; and complex data mining, including distance metrics and similarity measures, pattern management, multimedia, and gene sequence mining.
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Jerome Darmont received his Ph.D. degree in computer science from the University of Clermont-Ferrand II, France in 1999. He has been an associate professor at the University of Lyon 2, France since then, and the head of the Decision Support Databases research group within the ERIC laboratory since 2000. His current research interests mainly relate to the evaluation and optimization of database management systems and data warehouses (benchmarking, auto-administration, optimization techniques...), but also include XML and complex data warehousing and mining and medical or health-related applications. Omar Boussaid is an associate professor in computer science at the School of Economics and Management of the University of Lyon 2, France. He received his Ph.D. degree in computer science from the University of Lyon 1, France in 1988. Since 1995, he is the director of the Master Computer Science Engineering for Decision and Economic Evaluation of the University of Lyon 2. He is a member of the Decision Support Databases research group within the ERIC Laboratory. His main research subjects are data warehousing, multidimensional databases and OLAP. His current research concerns complex data warehousing, XML warehousing, data mining-based multidimensional modelling, OLAP and data mining combining and mining metadata in RDF form.
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