Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74735
Title: Data analytics to understand human behaviour
Authors: Tan, Daniel
Keywords: DRNTU::Engineering
Issue Date: 2018
Abstract: The 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.
URI: http://hdl.handle.net/10356/74735
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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