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GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 3 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
SIGIR
2004
ACM
14 years 3 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
ICWSM
2008
13 years 11 months ago
Mining and Visualizing Online Web Content Using BAM: Brand Association Map
In this paper, we describe our Brand Association MapTM (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conv...
Navot Akiva, Eliyahu Greitzer, Yakir Krichman, Jon...
CIBCB
2007
IEEE
14 years 1 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 2 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...