DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.
Christofer FelliciousSahib JulkaLorenz WendlingerMichael GranitzerPublished in: CoRR (2024)
Keyphrases
- historical data
- drift detection
- concept drift
- data streams
- stream data
- data mining techniques
- streaming data
- unsupervised learning
- semi supervised
- change detection
- data stream mining
- non stationary
- classification algorithm
- predictive model
- supervised learning
- data distribution
- demand forecasting
- data structure
- neural network
- database
- data points
- machine learning