69 search results - page 4 / 14 » Parallel Mining of Outliers in Large Database |
KDD
2009
ACM
14 years 2 months ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
PARCO
1997
13 years 8 months ago
1997
During the last decade, all commercial database systems have included features for parallel processing into their products. This development has been driven by the fact that datab...
KDD
2009
ACM
14 years 8 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...
SC
2005
ACM
14 years 1 months ago
2005
ACM
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
PPOPP
2005
ACM
14 years 1 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...