João Bártolo Gomes
Agency for Science, Technology and Research(SG)Institute for Infocomm Research(SG)
Publications by Year
Research Areas
Data Stream Mining Techniques, Time Series Analysis and Forecasting, Anomaly Detection Techniques and Applications, Machine Learning and Data Classification, Network Security and Intrusion Detection
Most-Cited Works
- → An overview of state-of-the-art partial discharge analysis techniques for condition monitoring(2015)277 cited
- → A rule dynamics approach to event detection in Twitter with its application to sports and politics(2016)75 cited
- → Scalable real-time classification of data streams with concept drift(2017)75 cited
- → Mining Recurring Concepts in a Dynamic Feature Space(2013)65 cited
- → Learning recurring concepts from data streams with a context-aware ensemble(2011)49 cited
- → Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments(2015)49 cited
- → Data stream mining in ubiquitous environments: state‐of‐the‐art and current directions(2014)46 cited
- → Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling(2014)44 cited
- → CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog(2014)42 cited
- → Where Will You Go? Mobile Data Mining for Next Place Prediction(2013)42 cited