Data Stream Mining
Tackling different challenges in data streams
Data streams are potentially unbounded data sequences that are made available over time. Mining data streams require algorithms that are:
- Fast
- Memory-bounded, and
- Adaptive, as data are potentially ephemeral due to concept drifts
I am currently interested in different aspects regarding data stream mining:
- Classification
- Regression
- Clustering
- Feature Selection
- Data representation and concept drift in text data
- Recommender systems