How to extract meaningful shapes from noisy time-series subsequences?
Yanfei KangKate Smith-MilesDanijel BelusicPublished in: CIDM (2013)
Keyphrases
- dynamic time warping
- shape retrieval
- real valued time series
- shape similarity
- shape analysis
- similarity search
- shape space
- shape recognition
- stock market
- shape representation
- longest common subsequence
- incomplete data
- noisy data
- artificial neural networks
- data mining
- shape matching
- shape model
- missing data
- higher level
- multivariate time series
- quasi periodic
- learning algorithm