Mining Information Search Pattern on Website: A Case Study of Educational Institution

Rahmi Azitha, Isti Surjandari Prajitno, Enrico Laoh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The increasing amount of internet usage encourages organizations, companies, and other institutions to engage with the public through various online media. Website is an example of online information channel for those institutions, enabling the visitors to search detailed information. Extracting pattern of website visitors' behavior is important to find out the trend on information searching and page accessing. Thus, the website can be improved to have better accessibility and user performance. However, the extracting pattern in an educational website is not often conducted while an educational website is considered as useful. This study was conducted using pattern mining, one of the applications of web usage mining, to find out patterns and trend of visitors' behavior in information searching through educational institution website. In this study, visitors' web log data of the website in February, March, and April was processed using the FP-Growth algorithm of association rules and compared as those three months have the highest number of visitors' activities in accessing website information in a year. The results show that there are seven similar patterns among the three months. However, there are some distinctive patterns found which describe the visitors' behavior each month which may occur due to the selection process agenda. By knowing these patterns, an educational institution may improve the interface and the quality of the website by creating link recommendation for each tab views which has the higher correlation to make the visitors access the information easier.

Original languageEnglish
Title of host publicationProceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018
EditorsYun Cheng, Shaozi Li, Ying Dai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-330
Number of pages5
ISBN (Electronic)9781538655009
DOIs
Publication statusPublished - 14 Jan 2019
Event5th International Conference on Information Science and Control Engineering, ICISCE 2018 - Zhengzhou, Henan, China
Duration: 20 Jul 201822 Jul 2018

Publication series

NameProceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018

Conference

Conference5th International Conference on Information Science and Control Engineering, ICISCE 2018
Country/TerritoryChina
CityZhengzhou, Henan
Period20/07/1822/07/18

Keywords

  • Association Rules
  • FP-Growth
  • Pattern Mining
  • Web Usage Mining
  • Website

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