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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 9 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
BMCBI
2010
185views more  BMCBI 2010»
14 years 11 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
LANC
2009
ACM
158views Education» more  LANC 2009»
15 years 11 months ago
Enhancements to the opinion model for video-telephony applications
In this paper, we show how the proposed model in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications” cannot model properly the perceptual video qualit...
Jose Joskowicz, José Carlos López-Ar...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 5 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
ISPASS
2006
IEEE
15 years 10 months ago
Modeling TCAM power for next generation network devices
Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
Banit Agrawal, Timothy Sherwood