15 search results - page 1 / 3 » The Markov Expert for Finding Episodes in Time Series |
DCC
2005
IEEE
14 years 6 months ago
2005
IEEE
We describe a domain-independent, unsupervised algorithm for refined segmentation of time series data into meaningful episodes, focusing on the problem of text segmentation. The V...
IDA
2001
Springer
13 years 11 months ago
2001
Springer
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
ICDM
2002
IEEE
13 years 11 months ago
2002
IEEE
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
ADMA
2006
Springer
14 years 24 days ago
2006
Springer
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
AUSDM
2008
Springer
13 years 8 months ago
2008
Springer
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...