View source for ANLY482 AY2016-17 T2 Group7: Project Overview

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<div style="background:#0096da; line-height:0.3em; font-family:sans-serif; font-size:120%; border-left:#bbdefb solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Business Problem & Motivation</strong></font></div></div>

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The role of the analytics team (part of Learning & Information Services) in Li Ka Shing Library is to discover meaningful insights about user behaviour so as to provide necessary assistance in forms of library e-resources training, helpdesk and support. However, the current problem is that they do not know what to do with the logging data collected from the library’s main web page, http://library.smu.edu.sg/. Thus, the logging data files are neglected and therefore the library analytics team wishes to collaborate with us in realizing the full potential of this data. 

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<div style="background:#0096da; line-height:0.3em; font-family:sans-serif; font-size:120%; border-left:#bbdefb solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Project Objective</strong></font></div></div>

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This project aims to do analysis on log files to:
# Understand user behaviour by using a data-driven approach
# Understand the relationship between different search queries for different users
# Examine the event sequence for unique users (Eg. What articles did User A searched together or 1 after another in sequence)

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<div style="background:#0096da; line-height:0.3em; font-family:sans-serif; font-size:120%; border-left:#bbdefb solid 15px;"><div style="border-left:#fff solid 5px; padding:15px;"><font color="#fff"><strong>Datasets</strong></font></div></div>

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Proxy log data & student information data (Names of Students are Hashed)
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