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PRL
2010
188views more  PRL 2010»
13 years 4 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
SSDBM
2010
IEEE
185views Database» more  SSDBM 2010»
13 years 8 months ago
DESSIN: Mining Dense Subgraph Patterns in a Single Graph
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...
Shirong Li, Shijie Zhang, Jiong Yang
PODS
2003
ACM
151views Database» more  PODS 2003»
14 years 10 months ago
Feasible itemset distributions in data mining: theory and application
Computing frequent itemsets and maximally frequent itemsets in a database are classic problems in data mining. The resource requirements of all extant algorithms for both problems...
Ganesh Ramesh, William Maniatty, Mohammed Javeed Z...
IJCAI
2007
13 years 11 months ago
Scalable Diagnosability Checking of Event-Driven Systems
Diagnosability of systems is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. Generally, in the l...
Anika Schumann, Yannick Pencolé
ICONIP
2009
13 years 7 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa