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» High Performance Clustering Based on the Similarity Join
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CCGRID
2007
IEEE
15 years 4 months ago
Exploiting Lustre File Joining for Effective Collective IO
Lustre is a parallel file system that presents high aggregated IO bandwidth by striping file extents across many storage devices. However, our experiments indicate excessively wid...
Weikuan Yu, Jeffrey S. Vetter, Shane Canon, Song J...
FPL
2006
Springer
96views Hardware» more  FPL 2006»
15 years 1 months ago
High Speed Document Clustering in Reconfigurable Hardware
High-performance document clustering systems enable similar documents to automatically self-organize into groups. In the past, the large amount of computational time needed to clu...
G. Adam Covington, Charles L. G. Comstock, Andrew ...
IEEESCC
2010
IEEE
15 years 1 months ago
Analyzing Communities vs. Single Agent-Based Web Services: Trust Perspectives
—Gathering functionally similar agent-based Web services into communities has been proposed and promoted on many occasions. In this paper, we compare the performance of these com...
Babak Khosravifar, Jamal Bentahar, Ahmad Moazin, Z...
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
15 years 10 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
EDBT
2009
ACM
184views Database» more  EDBT 2009»
15 years 4 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer