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Domain Driven Data Mining

Domain Driven Data Mining

Автор: Longbing Cao, Philip S. Yu, Chengqi Zhang, Yanchang Zhao, 237 стр., ISBN: 1441957367

In the present thriving global economy a need has evolved for complex data analysis to enhance an organizationa??s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. About this book: Enhances the actionability and wider deployment of existing data-centered data mining through a combination of domain and business oriented factors, constraints and intelligence. Examines real-world challenges to and complexities of the current KDD methodologies and techniques. Details a paradigm shift from "data-centered pattern mining" to "domain driven actionable knowledge discovery" for next-generation KDD research and applications. Bridges the gap between business...
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