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ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 5 months ago
Detecting Novel Discrepancies in Communication Networks
Abstract--We address the problem of detecting characteristic patterns in communication networks. We introduce a scalable approach based on set-system discrepancy. By implicitly lab...
James Abello, Tina Eliassi-Rad, Nishchal Devanur
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 5 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 10 days ago
Malware detection using statistical analysis of byte-level file content
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...
AIRS
2004
Springer
14 years 1 months ago
Multilingual Relevant Sentence Detection Using Reference Corpus
IR with reference corpus is one approach when dealing with relevant sentences detection, which takes the result of IR as the representation of query (sentence). Lack of informatio...
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee