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» Efficient Discovery of Confounders in Large Data Sets
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DAWAK
2006
Springer
13 years 11 months ago
Efficient Mining of Large Maximal Bicliques
Abstract. Many real world applications rely on the discovery of maximal biclique subgraphs (complete bipartite subgraphs). However, existing algorithms for enumerating maximal bicl...
Guimei Liu, Kelvin Sim, Jinyan Li
ACL
2009
13 years 5 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
IPPS
2003
IEEE
14 years 27 days ago
Contact-Based Architecture for Resource Discovery (CARD) in Large Scale MANets
In this paper we propose a novel architecture, CARD, for resource discovery in large scale MANets that may scale up to thousands of nodes. Our mechanism is suitable for resource d...
Ahmed Helmy, Saurabh Garg, Priyatham Pamu, Nitin N...
EDBT
2009
ACM
208views Database» more  EDBT 2009»
14 years 2 months ago
Flexible and efficient querying and ranking on hyperlinked data sources
There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...