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IJNVO
2011
47views more  IJNVO 2011»
15 years 1 months ago
Harvesting covert networks: a case study of the iMiner database
: Data collection of covert networks is an inherently difficult task because of the very nature of these networks. Researchers find it difficult to locate and access data relating ...
Nasrullah Memon, Uffe Kock Wiil, Reda Alhajj, Clau...
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
PAKDD
2009
ACM
133views Data Mining» more  PAKDD 2009»
16 years 1 months ago
On Link Privacy in Randomizing Social Networks
Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
Xiaowei Ying, Xintao Wu
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
2009
IEEE
172views Data Mining» more  ICDM 2009»
16 years 1 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...