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IADIS
2008
13 years 6 months ago
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nikolay V. Filipenkov
ICDE
2006
IEEE
239views Database» more  ICDE 2006»
13 years 10 months ago
Grid Representation for Efficient Similarity Search in Time Series Databases
Widespread interest in time-series similarity search has made more in need of efficient technique, which can reduce dimensionality of the data and then to index it easily using a ...
Guifang Duan, Yu Suzuki, Kyoji Kawagoe
AIA
2006
13 years 6 months ago
Efficient Algorithm for Calculating Similarity between Trajectories Containing an Increasing Dimension
Time series data is usually stored and processed in the form of discrete trajectories of multidimensional measurement points. In order to compare the measurements of a query traje...
Perttu Laurinen, Pekka Siirtola, Juha Röning
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
13 years 8 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
AICCSA
2008
IEEE
276views Hardware» more  AICCSA 2008»
13 years 6 months ago
Effects of dimensionality reduction techniques on time series similarity measurements
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
Ghazi Al-Naymat, Javid Taheri