103 search results - page 1 / 21 » A Compilation Framework for Distributed Memory Parallelizati... |
IPPS
2003
IEEE
13 years 9 months ago
2003
IEEE
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
PPOPP
2005
ACM
13 years 10 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
PPOPP
1999
ACM
13 years 8 months ago
1999
ACM
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...