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» Partitioning Sets with Genetic Algorithms
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SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 2 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
ML
2007
ACM
101views Machine Learning» more  ML 2007»
13 years 9 months ago
A persistent union-find data structure
The problem of disjoint sets, also known as union-find, consists in maintaining a partition of a finite set within a data structure. This structure provides two operations: a fu...
Sylvain Conchon, Jean-Christophe Filliâtre
PPOPP
2012
ACM
12 years 5 months ago
Massively parallel breadth first search using a tree-structured memory model
Analysis of massive graphs has emerged as an important area for massively parallel computation. In this paper, it is shown how the Fresh Breeze trees-of-chunks memory model may be...
Tom St. John, Jack B. Dennis, Guang R. Gao
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
14 years 3 months ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
HAIS
2009
Springer
14 years 2 months ago
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
José Ramón Villar, María del ...