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KES
2005
Springer
13 years 10 months ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
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...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
ICNC
2005
Springer
13 years 10 months ago
Representation of a Physio-psychological Index Through Constellation Graphs
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...
Mayumi Oyama-Higa, Tiejun Miao
ICNC
2005
Springer
13 years 10 months ago
The Prediction of the Financial Time Series Based on Correlation Dimension
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...
Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian
ICCS
2005
Springer
13 years 10 months ago
Dimension Reduction for Clustering Time Series Using Global Characteristics
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...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
ICANN
2005
Springer
13 years 10 months ago
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction
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...
Antti Sorjamaa, Jin Hao, Amaury Lendasse
GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
13 years 10 months ago
Finding Persisting States for Knowledge Discovery in Time Series
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 ...
Fabian Mörchen, Alfred Ultsch
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
13 years 10 months ago
The application of antigenic search techniques to time series forecasting
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...
Ian Nunn, Tony White
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
13 years 10 months ago
A new evolutionary method for time series forecasting
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...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
13 years 10 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
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...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
SSDBM
2005
IEEE
115views Database» more  SSDBM 2005»
13 years 10 months ago
Using Multi-Scale Histograms to Answer Pattern Existence and Shape Match Queries
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...
Lei Chen 0002, M. Tamer Özsu, Vincent Oria