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WAIM
2005
Springer
15 years 3 months ago
Research Paper Recommender Systems: A Subspace Clustering Approach
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Par...
NIPS
2004
14 years 11 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
VLDB
2002
ACM
98views Database» more  VLDB 2002»
14 years 9 months ago
Processing Star Queries on Hierarchically-Clustered Fact Tables
Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications. Thus, there is an imperative need for efficiently processing ...
Nikos Karayannidis, Aris Tsois, Timos K. Sellis, R...
PROCEDIA
2010
80views more  PROCEDIA 2010»
14 years 8 months ago
Visualising spins and clusters in regular and small-world Ising models with GPUs
Visualising computational simulation models of solid state physical systems is a hard problem for dense lattice models. Fly throughs and cutaways can aid viewer understanding of a...
Arno Leist, Daniel P. Playne, Kenneth A. Hawick
SODA
2012
ACM
223views Algorithms» more  SODA 2012»
13 years 6 days ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman