UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Dimensional ranking and reduction approach for finding optimal stock price influencing factors: An empirical study


Ahmad, Faudziah and Ku-Mahamud, Ku Ruhana and Mohamed Din, Aniza and Mohamad Mohsin, Mohamad Farhan (2011) Dimensional ranking and reduction approach for finding optimal stock price influencing factors: An empirical study. In: 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 29 November - 01 Disember 2011, International Convention Center Jeju Seogwipo, Korea (South).

[img] PDF
Restricted to Repository staff only

Download (53kB)

Abstract

A limited number of factors in critical areas are necessary to identify the sustainability of companies [30].It was found that three factors were commonly used [2] and a maximum of seven factors was recommended [2].In order to identify the optimal factors, we propose a method based on rough set theory that consisted of five main steps.These were data cleansing and preparation, dimensional reduction, ranking selected factors, optimal factor extraction, and rules generation and evaluation. Dimensional reduction was conducted using rough set theory where the set of factors were identified from the set of reducts that produce highest classification accuracy.These factors were first ranked through computation of its occurrences in reduct sets and then selected based on highest occurrences.The major contribution of this work is the reduced factors shows competitive results in classifying new cases and therefore keeping the quality of knowledge.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Print ISBN: 978-1-4577-0472-7
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Faudziah Ahmad
Date Deposited: 22 Apr 2014 00:09
Last Modified: 22 Apr 2014 00:09
URI: http://repo.uum.edu.my/id/eprint/10740

Actions (login required)

View Item View Item