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» A Genetic Algorithm for Clustering on Very Large Data Sets
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IJCNN
2006
IEEE
14 years 2 months ago
Training of Large-Scale Feed-Forward Neural Networks
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
Udo Seiffert
WWW
2007
ACM
14 years 9 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng
CCGRID
2006
IEEE
14 years 2 months ago
SAHA: A Scheduling Algorithm for Security-Sensitive Jobs on Data Grids
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
Tao Xie 0004, Xiao Qin
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 8 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
14 years 2 months ago
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping
Evolutionary relationships among species can be represented by a phylogenetic tree and inferred by optimising some measure of fitness, such as the statistical likelihood of the t...
Leon Poladian