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» Set cover algorithms for very large datasets
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WAW
2004
Springer
178views Algorithms» more  WAW 2004»
15 years 3 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
APWEB
2010
Springer
15 years 1 months ago
An Incremental Prefix Filtering Approach for the All Pairs Similarity Search Problem
Given a set of records, a threshold value t and a similarity function, we investigate the problem of finding all pairs of records such that similarity between each pair is above t....
Hoang Thanh Lam, Dinh Viet Dung, Raffaele Perego, ...
CIKM
2008
Springer
14 years 11 months ago
Viability of in-house datamarting approaches for population genetics analysis of snp genotypes
Background: Databases containing very large amounts of SNP (Single Nucleotide Polymorphism) data are now freely available for researchers interested in medical and/or population g...
Jorge Amigo, Christopher Phillips, Antonio Salas
NIPS
2007
14 years 11 months ago
Probabilistic Matrix Factorization
Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...
Ruslan Salakhutdinov, Andriy Mnih
IFIP12
2007
14 years 11 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters