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» Discovery of Frequent DATALOG Patterns
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ICDM
2007
IEEE
134views Data Mining» more  ICDM 2007»
14 years 1 months ago
On Regional Association Rule Scoping
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...
RULEML
2005
Springer
14 years 29 days ago
Design and Implementation of an ECA Rule Markup Language
an Abstract Syntax and Direct-Model Theoretic Semantics for RuleML . 45 Adrian Giurca and Gerd Wagner A Semantic Web Framework for Interleaving Policy Reasoning and External Servic...
Marco Seiriö, Mikael Berndtsson
TCBB
2010
98views more  TCBB 2010»
13 years 2 months ago
VARUN: Discovering Extensible Motifs under Saturation Constraints
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
Alberto Apostolico, Matteo Comin, Laxmi Parida
RECOMB
2002
Springer
14 years 7 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...