Citation

Lim, Zhou Yi and Ong, Lee Yeng and Leow, Meng Chew (2022) Web Usage Mining on an Online Roadshow Website. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Due to the emergence of the COVID-19 pandemic, physical roadshows can be replaced by online roadshows (Leow et al., 2021). Online roadshow is similar to a physical roadshow, but in an online website form. In the roadshow, organisations can advertise their products or services. The advertising effectiveness of an online roadshow depends on user engagement (Calder et al., 2009). Web mining can be performed to evaluate the advertising effectiveness of the online roadshow. Web Usage Mining (WUM) analyses the user’s navigation behaviour on the website. Clustering techniques can be used to divide users into different groups based on their similar preferences and habits (Jafari et al., 2013).

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Data Mining
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	21 Dec 2022 02:55
Last Modified:	21 Dec 2022 02:55
URII:	http://shdl.mmu.edu.my/id/eprint/10961

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