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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 7 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
KDD
2002
ACM
189views Data Mining» more  KDD 2002»
16 years 7 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...
VLDB
2007
ACM
126views Database» more  VLDB 2007»
16 years 6 months ago
SOR: A Practical System for Ontology Storage, Reasoning and Search
Ontology, an explicit specification of shared conceptualization, has been increasingly used to define formal data semantics and improve data reusability and interoperability in en...
Chen Wang, Jean-Sébastien Brunner, Jing Lu,...
EDBT
2006
ACM
206views Database» more  EDBT 2006»
16 years 6 months ago
The SIRUP Ontology Query API in Action
Ontology languages to represent ontologies exist in large numbers, and users who want to access or reuse ontologies can often be confronted with a language they do not know. Theref...
Patrick Ziegler, Christoph Sturm, Klaus R. Dittric...