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Mathematical Methods for Knowledge Discovery and Data Mining
Giovanni FeliciCarlo Vercellis
出版Information Science Reference, 2008
主題Business & Economics / Business MathematicsComputers / Database Administration & ManagementComputers / Data Science / Data AnalyticsComputers / Artificial Intelligence / Expert SystemsMathematics / Discrete MathematicsTechnology & Engineering / General
ISBN15990452819781599045283
URLhttp://books.google.com.hk/books?id=Hp0ZAQAAIAAJ&hl=&source=gbs_api
註釋The 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