A Survey of Data Mining Techniques for Social Media Analysis M Adedoyin-Olowe, MM Gaber, F Stahl arXiv preprint arXiv:1312.4617, 2013 | 191 | 2013 |
A rule dynamics approach to event detection in Twitter with its application to sports and politics M Adedoyin-Olowe, MM Gaber, CM Dancausa, F Stahl, JB Gomes Expert Systems with Applications 55, 351-360, 2016 | 93 | 2016 |
Scalable real-time classification of data streams with concept drift M Tennant, F Stahl, O Rana, JB Gomes Future Generation Computer Systems 75, 187-199, 2017 | 92 | 2017 |
Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC–Q) M Wolf, K van den Berg, SP Garaba, N Gnann, K Sattler, FT Stahl, ... Environmental Research Letters, 2020 | 90 | 2020 |
Data stream mining in ubiquitous environments: state‐of‐the‐art and current directions MM Gaber, J Gama, S Krishnaswamy, JB Gomes, F Stahl Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (2 …, 2014 | 56 | 2014 |
Towards cost-sensitive adaptation: When is it worth updating your predictive model? I Žliobaitė, M Budka, F Stahl Neurocomputing 150, 240-249, 2015 | 53 | 2015 |
Pocket Data Mining: Big Data on Small Devices MM Gaber, F Stahl, JB Gomes Springer Publishing Company, Incorporated, 2014 | 49* | 2014 |
A heterogeneous online learning ensemble for non-stationary environments MM Idrees, LL Minku, F Stahl, A Badii Knowledge-Based Systems, 104983, 2019 | 46 | 2019 |
Pocket data mining: towards collaborative data mining in mobile computing environments F Stahl, MM Gaber, M Bramer, PS Yu Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International …, 2010 | 44 | 2010 |
An overview of the use of neural networks for data mining tasks F Stahl, I Jordanov Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (3 …, 2012 | 43 | 2012 |
Real-Time Feature Selection Technique with Concept Drift Detection using Adaptive Micro-Clusters for Data Stream Mining MS Hammoodi, F Stahl, A Badii Knowledge-Based Systems, 2018 | 37 | 2018 |
TRCM: a methodology for temporal analysis of evolving concepts in Twitter M Adedoyin-Olowe, MM Gaber, F Stahl International Conference on Artificial Intelligence and Soft Computing, 135-145, 2013 | 37 | 2013 |
Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks F Stahl, M Bramer Knowledge-Based Systems 35, 49-63, 2012 | 35 | 2012 |
An overview of interactive visual data mining techniques for knowledge discovery F Stahl, B Gabrys, MM Gaber, M Berendsen Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3 (4 …, 2013 | 31 | 2013 |
Towards data warehousing and mining of protein unfolding simulation data D Berrar, F Stahl, C Silva, JR Rodrigues, RMM Brito, W Dubitzky Journal of clinical monitoring and computing 19 (4), 307-317, 2005 | 31 | 2005 |
Computationally efficient rule-based classification for continuous streaming data T Le, F Stahl, JB Gomes, MM Gaber, G Di Fatta International Conference on Innovative Techniques and Applications of …, 2014 | 30 | 2014 |
Jmax-pruning: A facility for the information theoretic pruning of modular classification rules F Stahl, M Bramer Knowledge-Based Systems 29, 12-19, 2012 | 29 | 2012 |
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 | 25 | 2017 |
A Survey of Data Mining Techniques for Social Media Analysis F Stahl, MM Gaber, M Adedoyin-Olowe Journal of Data Mining & Digital Humanities 2014, 2014 | 25* | 2014 |
PMCRI: A parallel modular classification rule induction framework F Stahl, M Bramer, M Adda Machine Learning and Data Mining in Pattern Recognition, 148-162, 2009 | 24 | 2009 |