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111
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PPDP
2005
Springer
15 years 8 months ago
Heuristics, optimizations, and parallelism for protein structure prediction in CLP(FD)
The paper describes a constraint-based solution to the protein folding problem on face-centered cubic lattices—a biologically meaningful approximation of the general protein fol...
Alessandro Dal Palù, Agostino Dovier, Enric...
165
Voted
SPAA
1997
ACM
15 years 6 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
107
Voted
PPOPP
2005
ACM
15 years 8 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
113
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AAAI
2010
15 years 4 months ago
Parallel Depth First Proof Number Search
The depth first proof number search (df-pn) is an effective and popular algorithm for solving and-or tree problems by using proof and disproof numbers. This paper presents a simpl...
Tomoyuki Kaneko
131
Voted
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 2 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...