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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 1 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 9 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
IDEAL
2004
Springer
14 years 2 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
INFOCOM
2011
IEEE
13 years 28 days ago
A distributed and privacy preserving algorithm for identifying information hubs in social networks
—This paper addresses the problem of identifying the top-k information hubs in a social network. Identifying topk information hubs is crucial for many applications such as advert...
Muhammad Usman Ilyas, Muhammad Zubair Shafiq, Alex...
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 3 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...