DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.
Christofer FelliciousSahib JulkaLorenz WendlingerMichael GranitzerPublished in: SAC (2024)
Keyphrases
- historical data
- drift detection
- concept drift
- data streams
- streaming data
- stream data
- non stationary
- change detection
- unsupervised learning
- data distribution
- classification algorithm
- predictive model
- data mining techniques
- supervised learning
- demand forecasting
- neural network
- sliding window
- state space
- information retrieval