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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
14 years 3 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
IADIS
2008
13 years 10 months ago
KDD, SEMMA and CRISP-DM: a parallel overview
In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Includ...
Ana Azevedo, Manuel Filipe Santos
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 2 months 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
ICIW
2009
IEEE
14 years 3 months ago
Ontology-Based Translation of Business Process Models
Semantic Business Process Management is a recent and promising research area devoted to extending the results from Semantic Web Services — i.e., the application of ontology-base...
Barry Norton, Liliana Cabral, Jörg Nitzsche
CORR
2011
Springer
173views Education» more  CORR 2011»
13 years 3 months ago
U-Sem: Semantic Enrichment, User Modeling and Mining of Usage Data on the Social Web
With the growing popularity of Social Web applications, more and more user data is published on the Web everyday. Our research focuses on investigating ways of mining data from su...
Fabian Abel, Ilknur Celik, Claudia Hauff, Laura Ho...