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» Data Mining for Genetics: A Genetic Algorithm Approach
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270
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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 7 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
123
Voted
LPNMR
2009
Springer
15 years 8 months ago
HAPLO-ASP: Haplotype Inference Using Answer Set Programming
Identifying maternal and paternal inheritance is essential to be able to find the set of genes responsible for a particular disease. However, due to technological limitations, we ...
Esra Erdem, Ozan Erdem, Ferhan Türe
149
Voted
NETWORKING
2000
15 years 5 months ago
Spare Capacity Planning for Survivable Mesh Networks
Abstract. The design of survivable mesh based STM networks has received considerable attention in recent years and is a complex multiconstraint optimization problem. In this paper,...
Adel Al-Rumaih, David Tipper, Yu Liu, Bryan A. Nor...
144
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GECCO
2003
Springer
141views Optimization» more  GECCO 2003»
15 years 9 months ago
Finding the Optimal Gene Order in Displaying Microarray Data
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon
156
Voted
COMPSAC
2006
IEEE
15 years 9 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto