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» Exception Rules Mining Based on Negative Association Rules
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PADL
2010
Springer
14 years 4 months ago
Implementing Query Answering for Hybrid MKNF Knowledge Bases
Abstract. Ontologies and rules are usually loosely coupled in knowledge representation formalisms. In fact, ontologies use open-world reasoning while the leading semantics for rule...
Ana Sofia Gomes, José Júlio Alferes,...
CORR
2011
Springer
186views Education» more  CORR 2011»
13 years 2 months ago
A Goal-Directed Implementation of Query Answering for Hybrid MKNF Knowledge Bases
Ontologies and rules are usually loosely coupled in knowledge representation formalisms. In fact, ontologies use open-world reasoning while the leading semantics for rules use non...
Ana Sofia Gomes, José Júlio Alferes,...
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
13 years 12 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...
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 9 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
AI
2003
Springer
14 years 25 days ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An