40 search results - page 2 / 8 » Do we need experts for time series forecasting |
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...
VLDB
2005
ACM
13 years 11 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...
AAAI
2008
13 years 7 months ago
2008
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
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...