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» The problem with scalability
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EMNLP
2006
15 years 5 months ago
Random Indexing using Statistical Weight Functions
Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Inde...
James Gorman, James R. Curran
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
15 years 9 months ago
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...
Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wan...
IPPS
1999
IEEE
15 years 8 months ago
Large Scale Simulation of Particulate Flows
Simulations of particles in fluid flows are of great interest to numerous industries using sedimentation, fluidization, lubricated transport, and hydraulic fracturing of hydrocarb...
Ahmed H. Sameh, Vivek Sarin
ESA
2011
Springer
251views Algorithms» more  ESA 2011»
14 years 4 months ago
Improved Approximation Algorithms for Bipartite Correlation Clustering
In this work we study the problem of Bipartite Correlation Clustering (BCC), a natural bipartite counterpart of the well studied Correlation Clustering (CC) problem. Given a bipart...
Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke...
SDM
2009
SIAM
196views Data Mining» more  SDM 2009»
16 years 1 months ago
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
With the explosion of social media, scalability becomes a key challenge. There are two main aspects of the problems that arise: 1) data volume: how to manage and analyze huge data...
Ching-Yung Lin, Jimeng Sun, Nan Cao, Shixia Liu, S...