Mining Non-Zero-Rare Sequential Patterns On Activity Recognition

Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered mot...

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Autores principales:	Mohammad Iqbal, Chandrawati Putri Wulandari, Wawan Yunanto, Ghaluh Indah Permata Sari
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2019
Materias:	Sequential Patterns; Rare Patterns; Activity Recognition; Multi-class Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/db9386e360574a0b8af8a601a3176aa3
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spelling	oai:doaj.org-article:db9386e360574a0b8af8a601a3176aa32021-12-02T17:17:08ZMining Non-Zero-Rare Sequential Patterns On Activity Recognition2527-31592527-316710.15642/mantik.2019.5.1.1-9https://doaj.org/article/db9386e360574a0b8af8a601a3176aa32019-05-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/504https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered motion sensor sequences to obtain non-zero-rare human activity patterns—the patterns which most occur in the motion sensor sequences and the occurrence numbers are less than the pre-defined occurrence threshold. This study proposes an algorithm to mine non-zero-rare pattern on human activity recognition called Mining Multi-class Non-Zero-Rare Sequential Patterns (MMRSP). The experimental result showed that non-zero-rare human activity patterns succeed to capture the unusual activity. Furthermore, the MMRSP performed well according to the precision value of rare activities.Mohammad IqbalChandrawati Putri WulandariWawan YunantoGhaluh Indah Permata SariDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleSequential Patterns; Rare Patterns; Activity Recognition; Multi-classMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 5, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Sequential Patterns; Rare Patterns; Activity Recognition; Multi-class Mathematics QA1-939
spellingShingle	Sequential Patterns; Rare Patterns; Activity Recognition; Multi-class Mathematics QA1-939 Mohammad Iqbal Chandrawati Putri Wulandari Wawan Yunanto Ghaluh Indah Permata Sari Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
description	Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered motion sensor sequences to obtain non-zero-rare human activity patterns—the patterns which most occur in the motion sensor sequences and the occurrence numbers are less than the pre-defined occurrence threshold. This study proposes an algorithm to mine non-zero-rare pattern on human activity recognition called Mining Multi-class Non-Zero-Rare Sequential Patterns (MMRSP). The experimental result showed that non-zero-rare human activity patterns succeed to capture the unusual activity. Furthermore, the MMRSP performed well according to the precision value of rare activities.
format	article
author	Mohammad Iqbal Chandrawati Putri Wulandari Wawan Yunanto Ghaluh Indah Permata Sari
author_facet	Mohammad Iqbal Chandrawati Putri Wulandari Wawan Yunanto Ghaluh Indah Permata Sari
author_sort	Mohammad Iqbal
title	Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
title_short	Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
title_full	Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
title_fullStr	Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
title_full_unstemmed	Mining Non-Zero-Rare Sequential Patterns On Activity Recognition
title_sort	mining non-zero-rare sequential patterns on activity recognition
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2019
url	https://doaj.org/article/db9386e360574a0b8af8a601a3176aa3
work_keys_str_mv	AT mohammadiqbal miningnonzeroraresequentialpatternsonactivityrecognition AT chandrawatiputriwulandari miningnonzeroraresequentialpatternsonactivityrecognition AT wawanyunanto miningnonzeroraresequentialpatternsonactivityrecognition AT ghaluhindahpermatasari miningnonzeroraresequentialpatternsonactivityrecognition
_version_	1718381171858997248

Mining Non-Zero-Rare Sequential Patterns On Activity Recognition

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