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BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
14 years 8 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...
OTM
2009
Springer
14 years 2 months ago
CLON: Overlay Networks and Gossip Protocols for Cloud Environments
Although epidemic or gossip-based multicast is a robust and scalable approach to reliable data dissemination, its inherent redundancy results in high resource consumption on both ...
Miguel Matos, António Sousa, José Pe...
AVSS
2005
IEEE
14 years 1 months ago
A multi-feature object association framework for overlapped field of view multi-camera video surveillance systems
This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is design...
Stefano Piva, Alessandro Calbi, Daniele Angiati, C...
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
14 years 28 days ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...