1061 search results - page 9 / 213 » Massive Data Pre-Processing with a Cluster Based Approach |
PAISI
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
PRL
2006
13 years 7 months ago
2006
In this paper, we present a wavelet based approach which tries to automatically find the number of clusters present in a data set, along with their position and statistical proper...
ICDM
2002
IEEE
14 years 7 days ago
2002
IEEE
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
ICDE
2012
IEEE
11 years 9 months ago
2012
IEEE
—Many companies now routinely run massive data analysis jobs – expressed in some scripting language – on large clusters of low-end servers. Many analysis scripts are complex ...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...