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» A framework for comparing models of computation
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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
15 years 4 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 8 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
IJDE
2002
159views more  IJDE 2002»
15 years 6 months ago
An Examination of Digital Forensic Models
Law enforcement is in a perpetual race with criminals in the application of digital technologies, and requires the development of tools to systematically search digital devices fo...
Mark Reith, Clint Carr, Gregg H. Gunsch
ECTEL
2007
Springer
16 years 28 days ago
Model Driven E-Learning Platform Integration
The success of the e-learning paradigm observed in recent times created a growing demand for e-learning systems in universities and other educational institutions, that itself led ...
Zuzana Bizonova
ICCS
2005
Springer
16 years 8 days ago
Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments
Abstract. Publish/subscribe model is appropriate in many push based data dissemination applications. This paper presents cost model for publish/subscribe systems, analyze its perfo...
Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, ...