João Bártolo Gomes

According to our database, João Bártolo Gomes authored at least 31 papers between 2010 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2017

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

Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta

Neurocomputing, 2017

Scalable real-time classification of data streams with concept drift.

Mark Tennant, Frederic T. Stahl, Omer F. Rana, João Bártolo Gomes

Future Gener. Comput. Syst., 2017

2016

A rule dynamics approach to event detection in Twitter with its application to sports and politics.

Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl, João Bártolo Gomes

Expert Syst. Appl., 2016

Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function.

Miguel Ángel Abad, João Bártolo Gomes, Ernestina Menasalvas

Expert Syst. Appl., 2016

Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments.

João Bártolo Gomes, Hai-Long Nguyen, Min Wu, Jianneng Cao, Shonali Krishnaswamy

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.

Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky

IEEE Trans. Comput. Soc. Syst., 2015

Next place prediction by understanding mobility patterns.

Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Priyadarsini Krishnaswamy, Daniel Rugeles, Amy Shi Nash

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.

Mark Tennant, Frederic T. Stahl, João Bártolo Gomes

Proceedings of the Internet and Distributed Computing Systems, 2015

Active learning for accurate analysis of streaming partial discharge data.

Hai-Long Nguyen, João Bártolo Gomes, Min Wu, Hong Cao, Jianneng Cao, Shonali Krishnaswamy

Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.

Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li

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.

Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl

WIREs Data Mining Knowl. Discov., 2014

Mining Recurring Concepts in a Dynamic Feature Space.

João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz

IEEE Trans. Neural Networks Learn. Syst., 2014

Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification.

Mark Tennant, Frederic T. Stahl, Giuseppe Di Fatta, João Bártolo Gomes

Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Computationally Efficient Rule-Based Classification for Continuous Streaming Data.

Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta

Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling.

Wei Wu, Yue Wang, João Bártolo Gomes, Dang The Anh, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiaoli Li, Shonali Krishnaswamy, James Decraene, Amy Shi Nash

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Recurring concept detection for spam filtering.

Miguel Ángel Abad, João Bártolo Gomes, Ernestina Menasalvas Ruiz

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.

Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky

Proceedings of the Advances in Databases and Information Systems, 2014

2013

Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection.

João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz

Int. J. Inf. Technol. Decis. Mak., 2013

Rule Type Identification Using TRCM for Trend Analysis in Twitter.

João Bártolo Gomes, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl

Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Where Will You Go? Mobile Data Mining for Next Place Prediction.

João Bártolo Gomes, Clifton Phua, Shonali Krishnaswamy

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012

Tracking recurrent concepts using context.

João Bártolo Gomes, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz

Intell. Data Anal., 2012

Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry

Clifton Phua, Hong Cao, João Bártolo Gomes, Minh Nhut Nguyen

CoRR, 2012

MARS: A Personalised Mobile Activity Recognition System.

João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz

Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Parallel Concept Drift Detection with Online Map-Reduce.

Artur Andrzejak, João Bártolo Gomes

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Mobile Activity Recognition Using Ubiquitous Data Stream Mining.

João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2011

Learning Recurring Concepts from Data Streams in Ubiquitous Environments.

João Bártolo Gomes

PhD thesis, 2011

Learning recurring concepts from data streams with a context-aware ensemble.

João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices.

João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz

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.

João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Situation-Aware Data Stream Mining Service for Ubiquitous Applications.

João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa

Proceedings of the Eleventh International Conference on Mobile Data Management, 2010

CALDS: context-aware learning from data streams.

João Bártolo Gomes, Ernestina Menasalvas, Pedro A. C. Sousa

Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, 2010