Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets, and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and making informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides decision makers, problem solvers, and data miners in business, industry, academia and government a comprehensive overview of the issues of importance in this rapidly changing field, including theories, methodologies, functionalities, and applications. DWM is inherently interdisciplinary and lies at the junction of database systems, artificial intelligence, machine learning and applied statistics; this can make it a challenging area in which to work. This encyclopedia therefore includes a judicious mix of introductory and advanced topics, with coverage of up-to-date research from a variety of perspectives. The Encyclopedia provides a comprehensive source for technical, functional and legal references to DWM.