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» Mining for Useful Association Rules Using the ATMS
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EMNLP
2004
15 years 5 months ago
VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations bet...
Timothy Chklovski, Patrick Pantel
AAAI
2010
15 years 5 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
IJBIDM
2011
127views more  IJBIDM 2011»
14 years 11 months ago
WebUser: mining unexpected web usage
: Web usage mining has been much concentrated on the discovery of relevant user behaviours from Web access record data. In this paper, we present WebUser, an approach to discover u...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
RR
2007
Springer
15 years 10 months ago
A Framework for Combining Rules and Geo-ontologies
Geo-ontologies have a key role to play in the development of the geospatial-semantic web, with regard to facilitating the search for geographical information and resources. They no...
Philip D. Smart, Alia I. Abdelmoty, Baher A. El-Ge...
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 8 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...