346 search results - page 7 / 70 » Scalable Parallel Clustering for Data Mining on Multicompute... |
90
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IPPS
2006
IEEE
15 years 3 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
IDEAS
2006
IEEE
15 years 3 months ago
2006
IEEE
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
HPCN
1999
Springer
15 years 1 months ago
1999
Springer
108
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...