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SAC
2009
ACM
15 years 6 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
BMCBI
2008
88views more  BMCBI 2008»
14 years 12 months ago
Microarray-based gene set analysis: a comparison of current methods
Background: The analysis of gene sets has become a popular topic in recent times, with researchers attempting to improve the interpretability and reproducibility of their microarr...
Sarah Song, Michael A. Black
FUIN
2008
136views more  FUIN 2008»
14 years 12 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...
CONCURRENCY
2007
125views more  CONCURRENCY 2007»
14 years 11 months ago
VLab: collaborative Grid services and portals to support computational material science
: We present the initial architecture and implementation of VLab, a Grid and Web Service-based system for enabling distributed and collaborative computational chemistry and materia...
Mehmet A. Nacar, Mehmet S. Aktas, Marlon E. Pierce...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 9 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu