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» Evaluating role mining algorithms
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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 4 months ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
14 years 18 days ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
14 years 2 days ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 11 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
14 years 4 months ago
Collaborative Tag Recommendations
Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user in the task of tagging, such as tag recommenders, are more and more require...
Leandro Balby Marinho, Lars Schmidt-Thieme