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» Finding Groups in Data: Cluster Analysis with Ants
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IADIS
2004
13 years 11 months ago
Mining Relaxed Graph Properties in Internet
Many real world datasets are represented in the form of graphs. The classical graph properties found in the data, like cliques or independent sets, can reveal new interesting info...
Wilhelmiina Hämäläinen, Hannu Toivo...
BMCBI
2006
165views more  BMCBI 2006»
13 years 9 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
BMCBI
2008
102views more  BMCBI 2008»
13 years 10 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
CLUSTER
2004
IEEE
14 years 1 months ago
An evaluation of the close-to-files processor and data co-allocation policy in multiclusters
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors and input files in multipl...
Hashim H. Mohamed, Dick H. J. Epema
ASIAMS
2009
IEEE
13 years 11 months ago
Uncovering Hidden Information Within University's Student Enrollment Data Using Data Mining
To date, higher educational organizations are placed in a very high competitive environment. To remain competitive, one approach is to tackle the student and administration challen...
Fadzilah Siraj, Mansour Ali Abdoulha