loading
Documents

Research.Publish.Connect.

Paper

Author: Piotr Maciąg

Affiliation: Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

ISBN: 978-989-758-351-3

Keyword(s): Uncertain Spatio-temporal Data, Probabilistic Sequential Patterns, Fuzzy Microclustering.

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.229.113.106

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@conference{icpram19,
author={Piotr S. 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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.