Data analytics to understand human behaviour

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...

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Main Author: Tan, Daniel
Other Authors: Tan Yap Peng
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74735
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-747352023-07-07T15:54:44Z Data analytics to understand human behaviour Tan, Daniel Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering 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. Bachelor of Engineering 2018-05-23T06:49:15Z 2018-05-23T06:49:15Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74735 en Nanyang Technological University 47 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Tan, Daniel
Data analytics to understand human behaviour
description 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.
author2 Tan Yap Peng
author_facet Tan Yap Peng
Tan, Daniel
format Final Year Project
author Tan, Daniel
author_sort Tan, Daniel
title Data analytics to understand human behaviour
title_short Data analytics to understand human behaviour
title_full Data analytics to understand human behaviour
title_fullStr Data analytics to understand human behaviour
title_full_unstemmed Data analytics to understand human behaviour
title_sort data analytics to understand human behaviour
publishDate 2018
url http://hdl.handle.net/10356/74735
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