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» Issues in Developing Very Large Data Warehouses
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COLCOM
2008
IEEE
13 years 9 months ago
Web Canary: A Virtualized Web Browser to Support Large-Scale Silent Collaboration in Detecting Malicious Web Sites
Abstract. Malicious Web content poses a serious threat to the Internet, organizations and users. Current approaches to detecting malicious Web content employ high-powered honey cli...
Jiang Wang, Anup K. Ghosh, Yih Huang
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 8 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
GCC
2003
Springer
14 years 27 days ago
Preserving Data Consistency in Grid Databases with Multiple Transactions
High performance Grid computing provides an infrastructure for access and processing of large volume, terabyte or even petabytes, of distributed data. Research in data grid has foc...
Sushant Goel, Hema Sharda, David Taniar
BMCBI
2010
185views more  BMCBI 2010»
13 years 2 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
CAISE
2010
Springer
13 years 8 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...