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» A Bayesian Approach to Tackling Hard Computational Problems
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ISI
2005
Springer
14 years 4 months ago
Private Mining of Association Rules
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among two parti...
Justin Z. Zhan, Stan Matwin, LiWu Chang
EDBT
2000
ACM
14 years 2 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
ICML
2010
IEEE
13 years 12 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
SPIN
2010
Springer
13 years 9 months ago
Context-Enhanced Directed Model Checking
Directed model checking is a well-established technique to efficiently tackle the state explosion problem when the aim is to find error states in concurrent systems. Although dir...
Martin Wehrle, Sebastian Kupferschmid
EDBT
2010
ACM
200views Database» more  EDBT 2010»
14 years 5 months ago
Rewrite techniques for performance optimization of schema matching processes
A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effor...
Eric Peukert, Henrike Berthold, Erhard Rahm