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» A Hybrid Model for Rule Discovery in Data
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ML
2006
ACM
143views Machine Learning» more  ML 2006»
14 years 11 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
WWW
2005
ACM
16 years 13 days ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
90
Voted
JDWM
2007
90views more  JDWM 2007»
14 years 11 months ago
Mining for Mutually Exclusive Items in Transaction Databases
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
George Tzanis, Christos Berberidis
DAGSTUHL
2004
15 years 1 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
KRDB
1996
123views Database» more  KRDB 1996»
15 years 1 months ago
Flexible Query-Answering Systems Modelled in Metalogic Programming
Metaprogramming adds new expressive power to logic programming which can be advantageous to transfer to the field of deductive databases. We propose metaprogramming as a way to mo...
Troels Andreasen, Henning Christiansen