87 search results - page 11 / 18 » Clustering Large Dynamic Datasets Using Exemplar Points |
FLAIRS
2007
13 years 10 months ago
2007
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
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...
ICCS
2007
Springer
14 years 2 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variab...
BIBM
2007
IEEE
14 years 2 months ago
2007
IEEE
We analyzed the structural properties and the local surface environment of surface amino acid residues of proteins using a large, non-redundant dataset of 2383 protein chains in d...