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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
SIAMJO
2002
142views more  SIAMJO 2002»
13 years 7 months ago
A Complementary Pivoting Approach to the Maximum Weight Clique Problem
Given an undirected graph with positive weights on the vertices, the maximum weight clique problem (MWCP) is to find a subset of mutually adjacent vertices (i.e., a clique) having ...
Alessio Massaro, Marcello Pelillo, Immanuel M. Bom...
TCS
2008
13 years 7 months ago
Main-memory triangle computations for very large (sparse (power-law)) graphs
Finding, counting and/or listing triangles (three vertices with three edges) in massive graphs are natural fundamental problems, which received recently much attention because of ...
Matthieu Latapy
EVOW
2004
Springer
14 years 28 days ago
A Hierarchical Social Metaheuristic for the Max-Cut Problem
This paper introduces a new social metaheuristic for the Max-Cut problem applied to a weighted undirected graph. This problem consists in finding a partition of the nodes into two ...
Abraham Duarte, Felipe Fernández, Án...
ENDM
2008
93views more  ENDM 2008»
13 years 7 months ago
The Generalized Max-Controlled Set Problem
In this work we deal with sandwich graphs G = (V, E) and present the notion of vertices f-controlled by a subset M V . We introduce the generalized maxcontrolled set problem (gmc...
Ivairton M. Santos, Carlos A. J. Martinhon, Luiz S...