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» Distributed Data Mining Models as Services on the Grid
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 7 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
WECWIS
2006
IEEE
150views ECommerce» more  WECWIS 2006»
16 years 11 days ago
Economic Evaluation Framework of Resource Allocation Methods in Service-Oriented Architectures
Economic resource allocation in Application Layer Networks (such as Grids) is critical to allow applications and users to effectively exploit computational and data infrastructure...
Werner Streitberger, Michael Reinicke, Torsten Eym...
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
16 years 6 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
VLDB
2005
ACM
81views Database» more  VLDB 2005»
15 years 12 months ago
Flexible Database Generators
Evaluation and applicability of many database techniques, ranging from access methods, histograms, and optimization strategies to data normalization and mining, crucially depend o...
Nicolas Bruno, Surajit Chaudhuri
WSC
2004
15 years 7 months ago
A Near Optimal Approach to Quality of Service Data Replication Scheduling
This paper describes an approach to real-time decisionmaking for quality of service based scheduling of distributed asynchronous data replication. The proposed approach addresses ...
Kevin Adams, Denis Gracanin, Dusan Teodorovic