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Automated update of crowdsourced data in participatory sensing: An application for crowdsourced price information

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dc.citedby1
dc.contributor.authorSyafiq F.en_US
dc.contributor.authorIsmail H.en_US
dc.contributor.authorAris H.en_US
dc.contributor.authorYusof S.en_US
dc.contributor.authorid57201876618en_US
dc.contributor.authorid57201881048en_US
dc.contributor.authorid13608397500en_US
dc.contributor.authorid57201876666en_US
dc.date.accessioned2023-05-29T06:39:47Z
dc.date.available2023-05-29T06:39:47Z
dc.date.issued2017
dc.description.abstractWidespread use of mobile devices has resulted in the creation of large amounts of data. An example of such data is the one obtained from the public (crowd) through open calls, known as crowdsourced data. More often than not, the collected data are later used for other purposes such as making predictions. Thus, it is important for crowdsourced data to be recent and accurate, and this means that frequent updating is necessary. One of the challenges in using crowdsourced data is the unpredictable incoming data rate. Therefore, manually updating the data at predetermined intervals is not practical. In this paper, the construction of an algorithm that automatically updates crowdsourced data based on the rate of incoming data is presented. The objective is to ensure that up-to-date and correct crowdsourced data are stored in the database at any point in time so that the information available is updated and accurate; hence, it is reliable. The algorithm was evaluated using a prototype development of a local price-watch information application, CrowdGrocr, in which the algorithm was embedded. The results showed that the algorithm was able to ensure up-to-date information with 94.9% accuracy. � 2017 Universiti Putra Malaysia Press.en_US
dc.description.natureFinalen_US
dc.identifier.epage14
dc.identifier.scopus2-s2.0-85046338029
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85046338029&partnerID=40&md5=2960eb923d3790dc5e895ea60a1997b0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23360
dc.identifier.volume25
dc.publisherUniversiti Putra Malaysia Pressen_US
dc.sourceScopus
dc.sourcetitlePertanika Journal of Science and Technology
dc.titleAutomated update of crowdsourced data in participatory sensing: An application for crowdsourced price informationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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