Statistical Data Mining and Knowledge Discovery by Hamparsum Bozdogan

By Hamparsum Bozdogan

colossal facts units pose an outstanding problem to many cross-disciplinary fields, together with information. The excessive dimensionality and diverse information varieties and buildings have now outstripped the functions of conventional statistical, graphical, and information visualization instruments. Extracting worthwhile info from such huge info units demands novel ways that meld recommendations, instruments, and methods from assorted components, resembling computing device technological know-how, information, man made intelligence, and fiscal engineering.

Statistical information Mining and information Discovery brings jointly a stellar panel of specialists to debate and disseminate fresh advancements in facts research concepts for info mining and data extraction. This rigorously edited assortment presents a pragmatic, multidisciplinary standpoint on utilizing statistical strategies in components resembling industry segmentation, purchaser profiling, photo and speech research, and fraud detection. The bankruptcy authors, who comprise such luminaries as Arnold Zellner, S. James Press, Stephen Fienberg, and Edward ok. Wegman, current novel ways and cutting edge versions and relate their stories in utilizing info mining recommendations in a variety of applications.

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