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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ACSAC
2006
IEEE
14 years 3 months ago
Back to the Future: A Framework for Automatic Malware Removal and System Repair
Malware is software with malicious intent. Besides viruses and worms, spyware, adware, and other newer forms of malware have recently emerged as widely-spread threats to system se...
Francis Hsu, Hao Chen, Thomas Ristenpart, Jason Li...
EUPROJECTS
2006
Springer
14 years 1 months ago
Web Mediators for Accessible Browsing
We present a highly accurate method for classifying web pages based on link percentage, which is the percentage of text characters that are parts of links normalized by the number...
Benjamin N. Waber, John J. Magee, Margrit Betke
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 9 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 7 months ago
Topic Modeling Ensembles
: Topic Modeling Ensembles Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen HP Laboratories HPL-2010-158 Topic model, Ensemble In this paper we propose a framework of topic model...
Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen