Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74735
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dc.contributor.authorTan, Daniel-
dc.date.accessioned2018-05-23T06:49:15Z-
dc.date.available2018-05-23T06:49:15Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/10356/74735-
dc.description.abstractThe purpose of this project is to explore the interesting patterns and behaviours that could be discovered from the data of one test subject’s everyday computer interaction. Different methods of data collection were explored. After collecting the computer usage data, the raw data were then processed through means of filtering and sorting using ExcelVBA in preparation for the different types of analysis methods. The results obtained from the analysis were then tallied with the test subject’s schedule and lifestyle habits. Interesting discoveries such as the frequency in which the test subject uses the computer for learning and leisure, and the websites frequent together were made.en_US
dc.format.extent47 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineeringen_US
dc.titleData analytics to understand human behaviouren_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorTan Yap Pengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
item.grantfulltextrestricted-
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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