Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

A BINARY-BASED APPROACH FOR MINING ASSOCIATION RULES IN LARGE-SCALE DATABASE ENVIRONMENTS

FAGEERI KHAIRY, SALLAM OSMAN (2014) A BINARY-BASED APPROACH FOR MINING ASSOCIATION RULES IN LARGE-SCALE DATABASE ENVIRONMENTS. PhD thesis, Universiti Teknologi PETRONAS.

[img] PDF
Restricted to Registered users only

Download (5Mb)

Abstract

Kajian ini mempertimbangkan penyelesaian masalah corak kerap dan kaedahkaedah perlombongan peraturan perkaitan ("association rules mining") di dalam pangkalan data yang berskala besar. Masalah ini adalah didorong oleh hakikat bahawa jumlah data telah berganda setiap tahun; namun dari segi lain, teknik-teknik untuk mengekstrakkan kegunaan data ini nampaknya bergerak pada kadar yang jauh lebih perlahan. Walaupun alatan bagi teknik-teknik tradisional statistik dan pengurusan data sudah wujud; tetapi mereka tidak lagi mencukupi untuk menganalisa kerumitan data yang berskala besar. Begitu juga dengan alatau yang biasa digunakan oleh sistem sokongan keputusan; mereka tidak berkemampuan untuk melakukan analisis prospektif secara automatik. Oleh itu, teknik perlombongan data telah muncul beberapa tahun kebelakangan ini bagi menyelesaikan masalah tersebut.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 17 Sep 2021 11:51
Last Modified: 17 Sep 2021 11:51
URI: http://utpedia.utp.edu.my/id/eprint/21348

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...