Repository Universitas Ahmad Dahlan

Soft Maximal Association Rule For Web User Mining

Tri Riyadi Yanto, Iwan and Rahman, Arif and Saaadi, Youes (2018) Soft Maximal Association Rule For Web User Mining. [Artikel Dosen]

[img]
Preview
Text
Soft Maximal Association Rule For Web User Mining.pdf

Download (3MB) | Preview

Abstract

Association rule mining of the web user transaction is one of important techniques for extracting information from web data, including its content, link, and user information using data mining tooL This tekhnique finds a pattern and caussal relation between items on given databases. The Maximal Association Rule is a data mining tools to determine the association rule the rough set theory based. Accordingly, the rough set can be defined in a form of soft set. This paper presents an Implementation of Soft Maximal Association Rule which is the soft set theory based for web mining. The experiment shows that the computation of the proposed technique outperforms comparing to the baseline technique. Keywords-web user transaction; association rule; soft maximal associlllion rule; soft set

Item Type: Artikel Dosen
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisi / Prodi: Faculty of Mathematics and Natural Sciences (Fakultas Matematika dan Ilmu Pengetahuan Alam) > S1-Information System (S1-Sistem Informasi)
Depositing User: Iwan Tri Riyadi Yanto
Date Deposited: 06 Nov 2018 06:56
Last Modified: 06 Nov 2018 06:56
URI: http://eprints.uad.ac.id/id/eprint/11648

Actions (login required)

View Item View Item

Repository Universitas Ahmad Dahlan is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.