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AAAI
2010
13 years 11 months ago
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
The current methods used to mine and analyze temporal social network data make two assumptions: all edges have the same strength, and all parameters are time-homogeneous. We show ...
Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes
OTM
2007
Springer
14 years 4 months ago
Discovering Executable Semantic Mappings Between Ontologies
Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans ...
Han Qin, Dejing Dou, Paea LePendu
PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
14 years 4 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
PPOPP
2005
ACM
14 years 3 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
KDD
2007
ACM
335views Data Mining» more  KDD 2007»
14 years 10 months ago
Detecting changes in large data sets of payment card data: a case study
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...