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FCSC
2010
238views more  FCSC 2010»
13 years 4 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
CORR
2012
Springer
209views Education» more  CORR 2012»
12 years 3 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
14 years 1 months ago
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
Abstract. Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization an...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
14 years 2 months ago
FpViz: a visualizer for frequent pattern mining
Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks. M...
Carson Kai-Sang Leung, Christopher L. Carmichael
BIB
2008
86views more  BIB 2008»
13 years 7 months ago
Recent developments in the MAFFT multiple sequence alignment program
The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reas...
Kazutaka Katoh, Hiroyuki Toh