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OverviewThe field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications Full Product DetailsAuthor: Giovanni Felici (Consiglio Nazionale delle Richerche, Italy) , Carlo Vercellis (Politecnico di Milano, Italy)Publisher: Information Science Reference Imprint: Information Science Reference ISBN: 9781281039644ISBN 10: 1281039640 Pages: 369 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 |