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Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities.
This highly specialized resource explores the software and algorithms capable of mathematically analyzing inconclusive or "fuzzy" data, mining for meaningful patterns, assisting in the unambiguous classification of overlapping components, and mapping out other consequential relationships. Wang (Web-Based Green Products Life Cycle Management Systems) divides the book into four thematic segments and 18 chapters, each composed from research conducted by 38 subject specialists. Intended for the computer-science professional, each essay is rich with field-specific jargon, but the topics covered are also relevant to the concerns of e-commerce administrators, public interest groups, and civil policymakers.
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