| Computationally Efficient Rule-Based Classification for Continuous Streaming Data GDF Thien Le, Frederic Stahl, João Bártolo Gomes, Mohamed Medhat Gaber Research and Development in Intelligent Systems XXXI, 2014 | 30* | 2014 |
| On expressiveness and uncertainty awareness in rule-based classification for data streams T Le, F Stahl, MM Gaber, JB Gomes, G Di Fatta Neurocomputing 265, 127-141, 2017 | 26 | 2017 |
| Towards expressive modular rule induction for numerical attributes M Almutairi, F Stahl, M Jennings, T Le, M Bramer Research and Development in Intelligent Systems XXXIII: Incorporating …, 2016 | 6 | 2016 |
| A frequent pattern conjunction Heuristic for rule generation in data streams F Stahl, T Le, A Badii, MM Gaber Information 12 (1), 24, 2021 | 4 | 2021 |
| A method of rule induction for predicting and describing future alarms in a telecommunication network C Wrench, F Stahl, T Le, G Di Fatta, V Karthikeyan, D Nauck Research and Development in Intelligent Systems XXXIII: Incorporating …, 2016 | 2 | 2016 |
| A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams. Information 2021, 12, 24 F Stahl, T Le, A Badii, MM Gaber s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | | 2021 |
| A statistical learning method to fast generalised rule induction directly from raw measurements T Le, F Stahl, C Wrench, MM Gaber 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | | 2016 |
Dr. Frederic StahlGerman Research Center for Artificial Intelligence (Germany), University of Reading (United Kingdom)Verified email at dfki.de
