João Bártolo Gomes

According to our database1, João Bártolo Gomes authored at least 29 papers between 2010 and 2017.

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2017
On expressiveness and uncertainty awareness in rule-based classification for data streams.
Neurocomputing, 2017

Scalable real-time classification of data streams with concept drift.
Future Generation Comp. Syst., 2017

2016
A rule dynamics approach to event detection in Twitter with its application to sports and politics.
Expert Syst. Appl., 2016

Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function.
Expert Syst. Appl., 2016

Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

2015
Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments.
IEEE Trans. Comput. Social Systems, 2015

Next place prediction by understanding mobility patterns.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

Fast Adaptive Real-Time Classification for Data Streams with Concept Drift.
Proceedings of the Internet and Distributed Computing Systems, 2015

Active learning for accurate analysis of streaming partial discharge data.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Data stream mining in ubiquitous environments: state-of-the-art and current directions.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Mining Recurring Concepts in a Dynamic Feature Space.
IEEE Trans. Neural Netw. Learning Syst., 2014

Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Computationally Efficient Rule-Based Classification for Continuous Streaming Data.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Recurring concept detection for spam filtering.
Proceedings of the 17th International Conference on Information Fusion, 2014

CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog.
Proceedings of the Advances in Databases and Information Systems, 2014

2013
Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection.
International Journal of Information Technology and Decision Making, 2013

Rule Type Identification Using TRCM for Trend Analysis in Twitter.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Where Will You Go? Mobile Data Mining for Next Place Prediction.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012
Tracking recurrent concepts using context.
Intell. Data Anal., 2012

MARS: A Personalised Mobile Activity Recognition System.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Parallel Concept Drift Detection with Online Map-Reduce.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Mobile Activity Recognition Using Ubiquitous Data Stream Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2011
Learning recurring concepts from data streams with a context-aware ensemble.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010
Improving the Learning of Recurring Concepts through High-Level Fuzzy Contexts.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Tracking Recurrent Concepts Using Context.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Situation-Aware Data Stream Mining Service for Ubiquitous Applications.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010


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