311 search results - page 7 / 63 » Better streaming algorithms for clustering problems |
SAC
2008
ACM
13 years 6 months ago
2008
ACM
This work presents the use of sensor stream reduction algorithms in clustered wireless sensor networks (WSNs), where the cluster head node is responsible to reduce the amount of d...
JMLR
2010
13 years 1 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
ACSW
2004
13 years 8 months ago
2004
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
FLAIRS
2001
13 years 8 months ago
2001
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
CIKM
1999
Springer
13 years 11 months ago
1999
Springer
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...