|
iRepository at Perpustakaan UniMAP >
UNIVERSITY LIBRARY >
Conference Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/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 |
Size | Format |
| 560-563.pdf | Access is limited to UniMAP community | 179.94 kB | Adobe PDF | View/Open |
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|