文件名称:Data_Mining_for_Business_Applications
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- 2012-11-26
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"Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from "data-centered pattern mining" to "domain driven actionable knowledge discovery" for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business."--BOOK JACKET.
相关搜索： kdd
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下载文件列表
Data Mining for Business Applications\A Framework for Context-Aware Trajectory.pdf
.....................................\Blog Data Mining for Cyber Security Threats.pdf
.....................................\Blog Data Mining.pdf
.....................................\DAG Mining for Code Compaction.pdf
.....................................\Data Mining Applications in Social Security.pdf
.....................................\Data Mining for Algorithmic Asset Management.pdf
.....................................\Domain Driven Tree Mining of Semi-structured Mental Health Information.pdf
.....................................\Introduction to Domain Driven Data Mining.pdf
.....................................\Microarray Data Mining.pdf
.....................................\On Mining Maximal Pattern-Based Clusters.pdf
.....................................\Ontology Mining for Personalized Search.pdf
.....................................\Post-processing Data Mining Models for Actionability.pdf
.....................................\Role of Human Intelligence in Domain Driven Data Mining.pdf
.....................................\Security Data Mining-- A Survey Introducing Tamper-Resistance.pdf
.....................................\Text Mining for Real-time Ontology Evolution.pdf
.....................................\Visual Data Mining for Developing Competitive Strategies in Higher Education.pdf
.....................................\Web Mining-- Extracting Knowledge from the World Wide Web.pdf
Data Mining for Business Applications
.....................................\Blog Data Mining for Cyber Security Threats.pdf
.....................................\Blog Data Mining.pdf
.....................................\DAG Mining for Code Compaction.pdf
.....................................\Data Mining Applications in Social Security.pdf
.....................................\Data Mining for Algorithmic Asset Management.pdf
.....................................\Domain Driven Tree Mining of Semi-structured Mental Health Information.pdf
.....................................\Introduction to Domain Driven Data Mining.pdf
.....................................\Microarray Data Mining.pdf
.....................................\On Mining Maximal Pattern-Based Clusters.pdf
.....................................\Ontology Mining for Personalized Search.pdf
.....................................\Post-processing Data Mining Models for Actionability.pdf
.....................................\Role of Human Intelligence in Domain Driven Data Mining.pdf
.....................................\Security Data Mining-- A Survey Introducing Tamper-Resistance.pdf
.....................................\Text Mining for Real-time Ontology Evolution.pdf
.....................................\Visual Data Mining for Developing Competitive Strategies in Higher Education.pdf
.....................................\Web Mining-- Extracting Knowledge from the World Wide Web.pdf
Data Mining for Business Applications