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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur
DASFAA
2004
IEEE
123views Database» more  DASFAA 2004»
14 years 10 days ago
A Meta-search Method with Clustering and Term Correlation
A meta-search engine propagates user queries to its participant search engines following a server selection strategy. To facilitate server selection, the metasearch engine must ke...
Dyce Jing Zhao, Dik Lun Lee, Qiong Luo
BMCBI
2008
208views more  BMCBI 2008»
13 years 8 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
DEXA
2010
Springer
172views Database» more  DEXA 2010»
13 years 8 months ago
Ranking Objects Based on Attribute Value Correlation
There has been a great deal of interest in recent years on ranking query results in relational databases. This paper presents a novel method to rank objects (e.g., tuples) by explo...
Jaehui Park, Sang-goo Lee
CIKM
2009
Springer
14 years 3 months ago
Learning to rank graphs for online similar graph search
Many applications in structure matching require the ability to search for graphs that are similar to a query graph, i.e., similarity graph queries. Prior works, especially in chem...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles