loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Josky Aïzan 1 ; Cina Motamed 2 and Eugene C. Ezin 3

Affiliations: 1 Institut de Mathématiques et de Sciences Physiques, Université d’Abomey-Calavi, Benin, Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Université du Littoral Côte d’Opale, France ; 2 Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Université du Littoral Côte d’Opale, France ; 3 Institut de Mathématiques et de Sciences Physiques, Université d’Abomey-Calavi, Benin

Keyword(s): Sequential Pattern Mining, Smart Home, Activity of Daily Living.

Abstract: In the context of smart home, activity mining appears as an interesting and promising solution for learning activity of daily living. This paper is an extension of a previous a research work titled Activity Mining in a Smart Home from Sequential and Temporal Databases. It proposes an activity mining method based on uncertain and temporal sequential pattern mining to deal with data uncertainty and events temporal relationships. It allows to track regular activities and to detect changes in an individual’s behavioural pattern. Uncertain sequential pattern mining algorithm is firstly applied to the input sequence database to extract typical sequences and secondly a clustering approach based on sequence alignment methods is performed in order to obtain separated typical activities. The results obtained are enough good compared to existing related works.

CC BY-NC-ND 4.0

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 18.216.190.167

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:
Aïzan, J.; Motamed, C. and Ezin, E. (2020). Improving Activity Mining in a Smart Home using Uncertain and Temporal Databases. In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-442-8; ISSN 2184-2809, SciTePress, pages 637-642. DOI: 10.5220/0009827206370642

@conference{icinco20,
author={Josky Aïzan. and Cina Motamed. and Eugene C. Ezin.},
title={Improving Activity Mining in a Smart Home using Uncertain and Temporal Databases},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2020},
pages={637-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009827206370642},
isbn={978-989-758-442-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - Improving Activity Mining in a Smart Home using Uncertain and Temporal Databases
SN - 978-989-758-442-8
IS - 2184-2809
AU - Aïzan, J.
AU - Motamed, C.
AU - Ezin, E.
PY - 2020
SP - 637
EP - 642
DO - 10.5220/0009827206370642
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic