Peter Braun
Affiliations:- University of Manitoba, Winnipeg, Canada
According to our database1,
Peter Braun
authored at least 14 papers
between 2014 and 2019.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2019
Sensors, 2019
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019
Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019
2018
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018
2017
Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017
Enhanced Prediction of User-Preferred YouTube Videos Based on Cleaned Viewing Pattern History.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017
MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017
2016
Int. J. Knowl. Based Intell. Eng. Syst., 2016
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016
2014
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014
Effectively and Efficiently Mining Frequent Patterns from Dense Graph Streams on Disk.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014