Detecting outliers in a univariate time series dataset using unsupervised combined statistical methods: A case study on surface water temperature.
Ehsan Jolous JamshidiYusri YusupJohn Stephen KayodeMohamad Anuar KamaruddinPublished in: Ecol. Informatics (2022)
Keyphrases
- statistical methods
- surface temperature
- detecting outliers
- statistical analysis
- multivariate time series
- outlier detection
- machine learning
- machine learning methods
- computational methods
- relative humidity
- biological data
- statistical approaches
- statistical analyses
- risk factors
- d objects
- three dimensional
- data mining techniques
- dynamic time warping
- water level
- statistical tests
- statistical models
- semi supervised
- unsupervised learning
- decision trees
- dissolved oxygen
- solar radiation
- data sets
- laser beam
- air temperature
- room temperature
- higher order
- least squares
- pairwise
- image processing
- computer vision
- databases