KES
2005
Springer
14 years 6 months ago
2005
Springer
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
Fingertip pulsations (plethysmograms) were found to obey chaotic dynamics [1]. We applied chaos theory to analysis of the time series of plethysmograms under various human physio-p...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
In this paper we firstly analysis the chaotic characters of three sets of the financial time series (Hang Sheng Index (HIS), Shanghai Stock Index and US gold price) based on the ph...
ICCS
2005
Springer
14 years 6 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
ICANN
2005
Springer
14 years 6 months ago
2005
Springer
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
GFKL
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
GECCO
2005
Springer
14 years 6 months ago
2005
Springer
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
GECCO
2005
Springer
14 years 6 months ago
2005
Springer
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
FSKD
2005
Springer
14 years 6 months ago
2005
Springer
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
SSDBM
2005
IEEE
14 years 6 months ago
2005
IEEE
Similarity-based querying of time series data can be categorized as pattern existence queries and shape match queries. Pattern existence queries find the time series data with ce...