A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data

Piotr Maciąg

2019

Abstract

The aim of this paper is to discuss a novel framework designed for discovering frequent event graphs from uncertain spatio-temporal data. We consider the problem of discovering hidden relations between event types and their set of uncertain spatio-temporal instances. For that purpose, we designed the following data mining framework: microclustering of uncertain instances, generating set of possible worlds according to the possible worlds semantic technique, creating a microclustering index for each world, generating a set of event graphs from created microclusters and defining apriori based algorithm mining frequent event graphs (EventGraph Miner). To the best of our knowledge this is the first approach to discover hidden patterns from event-type spatio-temporal data when dataset contains uncertain instances. While the paper does not present experimental results for the proposed framework, it presents its potential for futher studies in the topic.

Paper Citation

in Harvard Style

Maciąg P. (2019). A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 656-663. DOI: 10.5220/0007411206560663

in Bibtex Style

@conference{icpram19,
author={Piotr Maciąg},
title={A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={656-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007411206560663},
isbn={978-989-758-351-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data
SN - 978-989-758-351-3
AU - Maciąg P.
PY - 2019
SP - 656
EP - 663
DO - 10.5220/0007411206560663