DSpace
 

iRepository at Perpustakaan UniMAP >
The Library >
Conference Papers >

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/8855

Title: Soft computing detection method for input data error problem in computerized information system: A framework
Authors: Burairah, Hussin
Abdul Samad, Shibghatullah
Siti Azirah, Asmai
Keywords: Supervised learning;Neural network;Detection method;Computerized information system;Cumulative point average (CPA);Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Issue Date: 20-Jun-2009
Publisher: Universiti Malaysia Pahang (UMP)
Citation: p.560-563
Series/Report no.: Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009
Abstract: A detection method for input data error in computerized information system is a critical study because wrong inputs will cause incorrect results. Although some errors can be controlled through the interface input design, yet there is no guarantee that the potential error of inputted data is detected. Therefore, there is a need to have a tool which embeds intelligent data analysis to check the potential errors of the inputted data. By having this tool it will provides an early warning of potential error by detecting any abnormal behavior of the inputted data. This paper proposes a framework that used supervised learning neural network that functions as an intelligent data analysis to analyze the behavior of inputted data to detect potential error for computerized information system. To apply the framework, the research uses student information system that store students’ marks and calculate their cumulative point average (CPA). In student information system there is a potential of CPA is incorrectly calculated due to mistaken inputted marks and consequently will effect the achievement of the students and causes doubt to the university’s assessment system. Therefore, this paper presents details on how the framework could overcome this problem by detecting abnormal pattern of entered marks.
Description: MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
URI: http://hdl.handle.net/123456789/8855
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
560-563.pdfAccess is limited to UniMAP community179.94 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Perpustakaan Tuanku syed Faizuddin Putra, Kampus Pauh Putra, Universiti Malaysia Perlis, 02600, Arau Perlis
TEL: +604-9885420 | FAX: +604-9885405 | EMAIL: rujukan@unimap.edu.my Feedback