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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 10 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
TREC
2004
13 years 11 months ago
University of Glasgow at TREC 2004: Experiments in Web, Robust, and Terabyte Tracks with Terrier
With our participation in TREC2004, we test Terrier, a modular and scalable Information Retrieval framework, in three tracks. For the mixed query task of the Web track, we employ ...
Vassilis Plachouras, Ben He, Iadh Ounis
TREC
2008
13 years 11 months ago
UTDallas at TREC 2008 Blog Track
This paper describes our participation in the 2008 TREC Blog track. Our system consists of 3 components: data preprocessing, topic retrieval, and opinion finding. In the topic ret...
Bin Li, Feifan Liu, Yang Liu
DKE
2002
218views more  DKE 2002»
13 years 9 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
ICSE
2004
IEEE-ACM
14 years 10 months ago
SNIAFL: Towards a Static Non-Interactive Approach to Feature Location
To facilitate software maintenance and evolution, a helpful step is to locate features concerned in a particular maintenance task. In the literature, both dynamic and interactive ...
Wei Zhao, Lu Zhang, Yin Liu, Jiasu Sun, Fuqing Yan...