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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 8 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
115
Voted
ICDT
2001
ACM
124views Database» more  ICDT 2001»
15 years 9 months ago
Mining for Empty Rectangles in Large Data Sets
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
Jeff Edmonds, Jarek Gryz, Dongming Liang, Ren&eacu...
KDD
2003
ACM
162views Data Mining» more  KDD 2003»
16 years 5 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...
135
Voted
SDM
2008
SIAM
112views Data Mining» more  SDM 2008»
15 years 6 months ago
A pattern mining approach toward discovering generalized sequence signatures
Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
Dietmar H. Dorr, Anne Denton
COR
2006
95views more  COR 2006»
15 years 4 months ago
Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
In this paper we tackle the task assignment problem (TSAP) in heterogeneous computer systems. The TSAP consists of assigning a given distributed computer program formed by a numbe...
Sancho Salcedo-Sanz, Yong Xu, Xin Yao