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EDCC
2005
Springer
13 years 10 months ago
A Data Mining Approach to Identify Key Factors in Dependability Experiments
Abstract. Our paper presents a novel approach for identifying the key infrastructural factors determining the behavior of systems in the presence of faults by the application of in...
Gergely Pintér, Henrique Madeira, Marco Vie...
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
13 years 11 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 11 days ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
BMCBI
2008
116views more  BMCBI 2008»
13 years 5 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
BMCBI
2006
170views more  BMCBI 2006»
13 years 4 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...