226 search results - page 25 / 46 » Approximate Clustering on Distributed Data Streams |
SYNASC
2006
IEEE
14 years 1 months ago
2006
IEEE
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
PODS
2009
ACM
14 years 8 months ago
2009
ACM
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
ECML
1997
Springer
13 years 12 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...