Extracting Knowledge from Stream Behavioural Patterns

Ricardo Jesus, Mário Antunes, Diogo Gomes, Rui Aguiar

2017

Abstract

The increasing number of small, cheap devices full of sensing capabilities lead to an untapped source of information that can be explored to improve and optimize several systems. Yet, as this number grows it becomes increasingly difficult to manage and organize all this new information. The lack of a standard context representation scheme is one of the main difficulties in this research area (Antunes et al., 2016b). With this in mind we propose a stream characterization model which aims to provide the foundations of a new stream similarity metric. Complementing previous work on context organization, we aim to provide an automatic organizational model without enforcing specific representations.

Paper Citation

in Harvard Style

Jesus R., Antunes M., Gomes D. and Aguiar R. (2017). Extracting Knowledge from Stream Behavioural Patterns . In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-245-5, pages 419-423. DOI: 10.5220/0006373804190423

in Bibtex Style

@conference{iotbds17,
author={Ricardo Jesus and Mário Antunes and Diogo Gomes and Rui Aguiar},
title={Extracting Knowledge from Stream Behavioural Patterns},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2017},
pages={419-423},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006373804190423},
isbn={978-989-758-245-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Extracting Knowledge from Stream Behavioural Patterns
SN - 978-989-758-245-5
AU - Jesus R.
AU - Antunes M.
AU - Gomes D.
AU - Aguiar R.
PY - 2017
SP - 419
EP - 423
DO - 10.5220/0006373804190423