45 search results - page 3 / 9 » Nonparametric time series forecasting with dynamic updating |
FLAIRS
2004
13 years 6 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
VLDB
2005
ACM
13 years 10 months ago
2005
ACM
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
VLDB
2006
ACM
14 years 5 months ago
2006
ACM
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...