1061 search results - page 2 / 213 » Massive Data Pre-Processing with a Cluster Based Approach |
ICPP
2000
IEEE
13 years 10 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Publication
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
PAMI
2010
13 years 3 months ago
2010
—Multigrid solvers proved very efficient for solving massive systems of equations in various fields. These solvers are based on iterative relaxation schemes together with the app...
CIARP
2004
Springer
13 years 11 months ago
2004
Springer
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
We study the problem of automatically identifying“hotspots” on the real-time web. Concretely, we propose to identify highly-dynamic ad-hoc collections of users – what we ref...