Automated outlier detection and estimation of missing data.
Jinwook RhyuDragana BozinovskiAlexis B. DubsNaresh MohanElizabeth M. Cummings BendeAndrew J. MaloneyMiriam NievesJose SangermanAmos E. LuMoo Sun HongAnastasia ArtamonovaRui Wen OuPaul W. BaroneJames C. LeungJacqueline M. WolfrumAnthony J. SinskeyStacy L. SpringsRichard D. BraatzPublished in: Comput. Chem. Eng. (2024)
Keyphrases
- missing data
- outlier detection
- density estimation
- detection algorithm
- low rank
- missing values
- detecting outliers
- incomplete data
- knowledge discovery
- matrix factorization
- fraud detection
- data streams
- credit card fraud detection
- structure from motion
- density ratio estimation
- detect outliers
- maximum likelihood estimation
- multiple imputation
- probability density
- data mining
- outlier mining
- spatial outliers
- database
- training set
- computer vision
- machine learning
- real world