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ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
16 years 15 days ago
Pruning Social Networks Using Structural Properties and Descriptive Attributes
Scale is often an issue with understanding and making sense of large social networks. Here we investigate methods for pruning social networks by determining the most relevant rela...
Lisa Singh, Lise Getoor, Louis Licamele
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
15 years 10 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
15 years 4 months ago
Accurate Discovery of Valid Convoys from Moving Object Trajectories
Given a set of moving object trajectories, it is of interest to find a group of objects, called a convoy, that are spatially density-connected for a certain duration of time. Howev...
Hyunjin Yoon, Cyrus Shahabi
CIKM
2008
Springer
15 years 8 months ago
Predicting web spam with HTTP session information
Web spam is a widely-recognized threat to the quality and security of the Web. Web spam pages pollute search engine indexes, burden Web crawlers and Web mining services, and expos...
Steve Webb, James Caverlee, Calton Pu
SOFTWARE
2002
15 years 6 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer