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» A Genetic Algorithm for Clustering on Very Large Data Sets
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IHI
2012
370views Healthcare» more  IHI 2012»
12 years 3 months ago
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...
JUCS
2007
108views more  JUCS 2007»
13 years 7 months ago
On Pipelining Sequences of Data-Dependent Loops
: Sequences of data-dependent tasks, each one traversing large data sets, exist in many applications (such as video, image and signal processing applications). Those tasks usually ...
Rui Rodrigues, João M. P. Cardoso
DKE
2002
218views more  DKE 2002»
13 years 7 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
HSNMC
2004
Springer
106views Multimedia» more  HSNMC 2004»
14 years 1 months ago
Performance Evaluation of a Probabilistic Packet Filter Optimization Algorithm for High-Speed Network Monitoring
Because of the ever-increasing popularity of the Internet, network monitoring becomes very mission critical to guarantee the operation of IP networks, e.g. to detect network failur...
Jan Coppens, Stijn De Smet, Steven Van den Berghe,...
IJCAI
2003
13 years 9 months ago
Inductive Learning in Less Than One Sequential Data Scan
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo