226 search results - page 17 / 46 » Approximate Clustering on Distributed Data Streams |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
KAIS
2006
13 years 7 months ago
2006
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
INTERNET
2006
13 years 7 months ago
2006
Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
STOC
2010
ACM
13 years 11 months ago
2010
ACM
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
GRID
2006
Springer
13 years 7 months ago
2006
Springer
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...