48 search results - page 5 / 10 » Evolutionary Time Series Segmentation for Stock Data Mining |
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
ICDM
2002
IEEE
15 years 2 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...
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
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Voted
AUSDM
2008
Springer
14 years 11 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...