Publication:
A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment

Simple item page
dc.ConferencedateNOV 21-23, 2017
dc.ConferencelocationBandung, INDONESIA
dc.ConferencenameInternational Conference on Social Sciences and Education (ICSSE)
dc.contributor.authorRajoo, Sen_US
dc.contributor.authorMagalingam, Pen_US
dc.contributor.authorIdris, NBen_US
dc.contributor.authorSamy, GNen_US
dc.contributor.authorMaarop, Nen_US
dc.contributor.authorShanmugam, Ben_US
dc.contributor.authorPerumal, Sen_US
dc.date.accessioned2024-05-29T03:25:38Z
dc.date.available2024-05-29T03:25:38Z
dc.date.issued2018
dc.description.abstractIn this research, a false report identification algorithm for mobile application is developed using a text classification technique. This algorithm is proposed to be applied to a reporting service application in an IoT environment. The algorithm is aimed to distinguish reports into true and false information. Support Vector Machine (SVM) is used as the text classifier because it has proven to be the most popularly used due to its good performance and higher accuracy compared to the other techniques such as Naive Bayes, Decision Tree and K-Nearest Neighbours. The algorithm is designed and developed in R Studio and we built a framework to show how the algorithms can be adapted into a reporting service application. The results show that the algorithm has successfully classified the reports.
dc.identifier.doi10.1166/asl.2018.11789
dc.identifier.epage694
dc.identifier.isbn1936-7317
dc.identifier.issn1936-6612
dc.identifier.issue1
dc.identifier.scopusWOS:000432354700199
dc.identifier.spage690
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11999
dc.identifier.volume24
dc.languageEnglish
dc.language.isoen_US
dc.publisherAmer Scientific Publishersen_US
dc.relation.ispartofAdvanced Science Letters
dc.sourceWeb Of Science (ISI)
dc.subjectFalse Report identification Alogorithmen_US
dc.subjectSupport Vector Machineen_US
dc.subjectAlogorithmen_US
dc.titleA Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
dc.typeProceedings Paperen_US
dspace.entity.typePublication

Files

Collections

Web of Science_WoS