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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 2 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
15 years 8 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
15 years 8 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 8 months ago
Failure Prediction in IBM BlueGene/L Event Logs
Frequent failures are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in size and compl...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
ESWA
2006
148views more  ESWA 2006»
15 years 1 months ago
Applications of artificial intelligence in bioinformatics: A review
Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algor...
Zoheir Ezziane