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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 7 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 7 months ago
Towards NIC-based intrusion detection
We present and evaluate a NIC-based network intrusion detection system. Intrusion detection at the NIC makes the system potentially tamper-proof and is naturally extensible to wor...
Matthew Eric Otey, Srinivasan Parthasarathy, Amol ...
PAKDD
2009
ACM
127views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Clustering Documents Using a Wikipedia-Based Concept Representation
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
16 years 1 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
16 years 1 months ago
Aspect Summarization from Blogsphere for Social Study
In this paper, we study the problem of summarizing reasons from blogsphere for social study. We regard weblogs as a source for collecting non-discrete public opinions, where genui...
Chia-Hui Chang, Kun-Chang Tsai