Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49836
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dc.contributor.authorLim, Bi Deng.
dc.date.accessioned2012-05-25T01:28:20Z
dc.date.available2012-05-25T01:28:20Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10356/49836
dc.description.abstractWith the increased usage of smartphones in the world, companies are making use of this important media to relate with the consumers. This can be shown by the rising development of mobile applications, mobile access to the internet and social medias. Along with engaging mobile features and functions for consumers, the companies are targeting mobile commerce to extract transaction data for analysis. It will be beneficial to them when they will be able to predict the consumers' behaviors. This project aims to use the functions of the smartphone to enhance the experience of the users such as geolocation services. The user will be able to receive advertisements of the participating stalls when near a shopping mall. The retrieval of the advertisements will be done by the semantic ontology and hence it will find the relevant match to outputs.en_US
dc.format.extent59 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleMobile data analyticsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChan Chee Keongen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
dc.contributor.organizationA*STAR Institute for Infocomm Researchen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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