João Bártolo Gomes

发表

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

Wei Wu, Yue Wang, James Decraene, 2014, 2014 IEEE 15th International Conference on Mobile Data Management.

Autonomic Discovery of News Evolvement in Twitter

Mohamed Medhat Gaber, João Bártolo Gomes, Mariam Adedoyin-Olowe, 2015 .

Mining Recurring Concepts in a Dynamic Feature Space

Ernestina Menasalvas Ruiz, Mohamed Medhat Gaber, João Bártolo Gomes, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments

Prem Prakash Jayaraman, João Bártolo Gomes, Shonali Krishnaswamy, 2015, IEEE Transactions on Computational Social Systems.

Parallel Concept Drift Detection with Online Map-Reduce

João Bártolo Gomes, Artur Andrzejak, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Scalable real-time classification of data streams with concept drift

João Bártolo Gomes, Omer F. Rana, Frederic T. Stahl, 2017, Future Gener. Comput. Syst..

Improving the Learning of Recurring Concepts through High-Level Fuzzy Contexts

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Pedro A. C. Sousa, 2010, RSKT.

MARS: A Personalised Mobile Activity Recognition System

Ernestina Menasalvas Ruiz, Mohamed Medhat Gaber, João Bártolo Gomes, 2012, 2012 IEEE 13th International Conference on Mobile Data Management.

Next place prediction by understanding mobility patterns

João Bártolo Gomes, Shonali Krishnaswamy, Amy Shi Nash, 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

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

Mohamed Medhat Gaber, João Bártolo Gomes, Mariam Adedoyin-Olowe, 2016, Expert Syst. Appl..

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

Giuseppe Di Fatta, João Bártolo Gomes, Frederic T. Stahl, 2014, SGAI Conf..

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

Wei Wu, James Decraene, João Bártolo Gomes, 2015, 2015 IEEE 31st International Conference on Data Engineering.

Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices

Ernestina Menasalvas Ruiz, Mohamed Medhat Gaber, João Bártolo Gomes, 2011, IDA.

Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection

Ernestina Menasalvas Ruiz, Mohamed Medhat Gaber, João Bártolo Gomes, 2013, Int. J. Inf. Technol. Decis. Mak..

Tracking recurrent concepts using context

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Pedro A. C. Sousa, 2012, Intell. Data Anal..

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

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Miguel Ángel Abad, 2016, Expert Syst. Appl..

Recurring concept detection for spam filtering

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Miguel Ángel Abad, 2014, 17th International Conference on Information Fusion (FUSION).

Tracking recurrent concepts using context

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Pedro A. C. Sousa, 2010, Intell. Data Anal..

CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog

Prem Prakash Jayaraman, João Bártolo Gomes, Shonali Krishnaswamy, 2014, ADBIS.

Active learning for accurate analysis of streaming partial discharge data

Jianneng Cao, João Bártolo Gomes, Shonali Krishnaswamy, 2015, 2015 IEEE Conference on Prognostics and Health Management (PHM).

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

Jianneng Cao, João Bártolo Gomes, Shonali Krishnaswamy, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

Fast Adaptive Real-Time Classification for Data Streams with Concept Drift

João Bártolo Gomes, Frederic T. Stahl, Mark Tennant, 2015, IDCS.

Rule Type Identification Using TRCM for Trend Analysis in Twitter

Mohamed Medhat Gaber, João Bártolo Gomes, Mariam Adedoyin-Olowe, 2013, SGAI Conf..

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

João Bártolo Gomes, Hong Cao, Clifton Phua, 2012, ArXiv.

Acknowledgment of JAISE's reviewers

Benoit Delinchant, Keiichi Nakata, Valentin Cristea, 2013, J. Ambient Intell. Smart Environ..

Mobile Activity Recognition Using Ubiquitous Data Stream Mining

Ernestina Menasalvas Ruiz, Mohamed Medhat Gaber, João Bártolo Gomes, 2012, DaWaK.

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

Giuseppe Di Fatta, Mohamed Medhat Gaber, João Bártolo Gomes, 2017, Neurocomputing.

Data stream mining in ubiquitous environments: state‐of‐the‐art and current directions

Mohamed Medhat Gaber, João Bártolo Gomes, Shonali Krishnaswamy, 2014, WIREs Data Mining Knowl. Discov..

Research Challenge of Locally Computed Ubiquitous Data Mining

Santiago Eibe, João Bártolo Gomes, Ernestina Menasalvas, 2011 .

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

João Bártolo Gomes, Shonali Krishnaswamy, Clifton Phua, 2013, DaWaK.

Computationally Efficient Rule-Based Classification for Continuous Streaming Data

Giuseppe Di Fatta, Mohamed Medhat Gaber, João Bártolo Gomes, 2014, SGAI Conf..

Situation-Aware Data Stream Mining Service for Ubiquitous Applications

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Pedro A. C. Sousa, 2010, 2010 Eleventh International Conference on Mobile Data Management.

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

Ernestina Menasalvas Ruiz, João Bártolo Gomes, Pedro A. C. Sousa, 2011, SAC.