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PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
16 years 2 days ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
16 years 1 hour ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
ICDM
2003
IEEE
148views Data Mining» more  ICDM 2003»
16 years 1 hour ago
Inference of Protein-Protein Interactions by Unlikely Profile Pair
We note that a set of statistically “unusual” proteinprofile pairs in experimentally determined database of protein-protein interactions can typify protein-protein interaction...
Byung-Hoon Park, George Ostrouchov, Gong-Xin Yu, A...
PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...