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» Data Mining for Genetics: A Genetic Algorithm Approach
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ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
15 years 11 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
15 years 11 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
ICALP
2001
Springer
15 years 9 months ago
Permutation Editing and Matching via Embeddings
Abstract. If the genetic maps of two species are modelled as permutations of (homologous) genes, the number of chromosomal rearrangements in the form of deletions, block moves, inv...
Graham Cormode, S. Muthukrishnan, Süleyman Ce...
IPPS
2007
IEEE
15 years 11 months ago
A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...
161
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CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 2 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat