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IPPS
2002
IEEE
15 years 2 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
PAMI
2011
14 years 4 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
APSCC
2008
IEEE
14 years 12 months ago
Optimizing the Execution Time of the SLA-based Workflow in the Grid with Parallel Processing Technology
Service Level Agreements (SLAs) is currently one of the major research topics in Grid Computing. Among many system components for the supporting of SLA-aware Gridbased workflow, t...
Dang Minh Quan, Jörn Altmann, Laurence Tianru...
VECPAR
2000
Springer
15 years 1 months ago
Finite/Discrete Element Analysis of Multi-fracture and Multi-contact Phenomena
A dynamic domain decomposition strategy is proposed for the effective parallel implementation of combined finite/discrete element approaches for problems involving multi-fracture a...
D. R. J. Owen, Y. T. Feng, Jianguo Yu, Djordje Per...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 7 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim