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» Discovering Cortical Algorithms
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SAC
2004
ACM
15 years 3 months ago
Guiding motif discovery by iterative pattern refinement
In this paper, we demonstrate that the performance of a motif discovery algorithm can be significantly improved by embedding it into a novel framework that effectively guides the ...
Zhiping Wang, Mehmet M. Dalkilic, Sun Kim
ACL
2006
14 years 11 months ago
Semantic Taxonomy Induction from Heterogenous Evidence
We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new sin...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
IDA
2007
Springer
14 years 10 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
RCIS
2010
14 years 8 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
ICDE
2012
IEEE
196views Database» more  ICDE 2012»
13 years 11 days ago
Scalable Multi-query Optimization for SPARQL
Abstract—This paper revisits the classical problem of multiquery optimization in the context of RDF/SPARQL. We show that the techniques developed for relational and semi-structur...
Wangchao Le, Anastasios Kementsietsidis, Songyun D...