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OverviewOne of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain. Prior knowledge is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. Data Mining with Ontologies: Implementations, Findings and Frameworks provides a comprehensive set of methodologies and tools for the development of ontological foundations for data mining in diverse domains ranging from biomedicine to marketing. Forming a benchmark reference for future efforts to enhance capabilities in ontology utilization and design, this Premier Reference Source will be an invaluable addition to libraries worldwide. Full Product DetailsAuthor: Hector Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina) , Sandra Gonzalez Cisaro , Daniel Hugo Xodo (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina) , Sandra Elizabeth Gonzalez Cisaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)Publisher: Information Science Reference Imprint: Information Science Reference ISBN: 9781281037862ISBN 10: 1281037869 Pages: 289 Publication Date: 01 January 2007 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |