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A parallel workflow for online correlation and clique-finding : with applications to finance
作者: Camilo Rostoker
DOI:
10.14288/1.0051985
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参考文章
(103)
1.
Satu Elisa Schaeffer,
Stochastic Local Clustering for Massive Graphs
Advances in Knowledge Discovery and Data Mining.
pp. 354- 360 ,(2005) ,
10.1007/11430919_42
2.
James Vaigl, Greg Burns, Raja Daoud,
LAM: An Open Cluster Environment for MPI
,(2002)
3.
Joseph C. Culberson, Mark Brockington,
Camouflaging independent sets in quasi-random graphs.
Cliques, Coloring, and Satisfiability.
pp. 75- 88 ,(1993)
4.
P. Pardalos, J. Abello, M. G. C. Resende,
On maximum clique problems in very large graphs
External memory algorithms.
pp. 119- 130 ,(1999)
5.
Holger H. Hoos, Kevin O''Neill,
Stochastic Local Search Methods for Dynamic SAT- an Initial Investigation
University of British Columbia.
,(2000)
6.
Bahram Alidaee, César Rego,
Metaheuristic optimization via memory and evolution : tabu search and scatter search
Kluwer Academic.
,(2005)
7.
Ganapathy Vidyamurthy,
Pairs Trading: Quantitative Methods and Analysis
,(2004)
8.
Celso C. Ribeiro, Pierre Hansen,
Essays and Surveys in Metaheuristics
Kluwer Academic Publishers.
,(2002) ,
10.1007/978-1-4615-1507-4
9.
Holger H. Hoos, Thomas Stützle, T. Walsh, I. Gent, H. Van Maaren,
SATLIB: An Online Resource for Research on SAT
theory and applications of satisfiability testing.
pp. 283- 292 ,(2000)
10.
Russell Bent, Pascal Van Hentenryck,
Online stochastic and robust optimization
Lecture Notes in Computer Science.
pp. 286- 300 ,(2004) ,
10.1007/978-3-540-30502-6_21
来源期刊
University of British Columbia
2007 年,
Volume: , Issue: ,
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