17 search results - page 1 / 4 » Input and Structure Selection for k-NN Approximator |
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
ICDE
2007
IEEE
14 years 6 months ago
2007
IEEE
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
IJON
2007
13 years 4 months ago
2007
In this paper, a global methodology for the long-term prediction of time series is proposed. This methodology combines direct prediction strategy and sophisticated input selection...
ACIVS
2006
Springer
13 years 10 months ago
2006
Springer
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
EDBT
2008
ACM
14 years 5 months ago
2008
ACM
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...