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ML
2006
ACM
143views Machine Learning» more  ML 2006»
15 years 2 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
113
Voted
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 3 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
123
Voted
CISC
2005
Springer
109views Cryptology» more  CISC 2005»
15 years 8 months ago
Enforcing Email Addresses Privacy Using Tokens
We propose a system which allows users to monitor how their email addresses are used and how they spread over the Internet. This protects the privacy of the user and can reduce the...
Roman Schlegel, Serge Vaudenay
116
Voted
VLDB
2004
ACM
163views Database» more  VLDB 2004»
15 years 8 months ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
15 years 7 months ago
Modeling Instrumental Conditioning - The Behavioral Regulation Approach
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
Jose J. Gonzalez, Agata Sawicka