Web-based Dynamic Similarity Distance Tool

Authors

  • Nur Atikah Arbain Faculty of Information and Communication Technology, Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, MALAYSIA.
  • Mohd Sanusi Azmi Faculty of Information and Communication Technology, Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, MALAYSIA.
  • Azah Kamilah Muda Faculty of Information and Communication Technology, Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, MALAYSIA.
  • Amirul Ramzani Radzid Faculty of Information and Communication Technology, Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, MALAYSIA.
  • Noor Azilah Muda Faculty of Information and Communication Technology, Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, MALAYSIA.
  • Radzuan Nordin Centre for Languages and Human Development, Universiti Teknikal Malaysia Melaka, MALAYSIA.

Keywords:

Accuracy, Similarity Distance, Ranking, Web-based,

Abstract

Similarity or distance measures is a well-known method and commonly used for calculating the distance between two samples of a dataset. Basically, the distance between the dataset samples is an important theory in multivariate analysis research. This paper proposes a tool that provides seven common distance methods that can be used in various research area. This tool is a web-based application which can be accessed through the internet browser. The objective of this tool is to introduce a web-based similarity distance application for many analysis and research purposes. Besides, a ranking method based on the Mean Average Precision is also implemented in this tool in order to increase the classification accuracies. This tool can process features that contain numerical values from any type of dataset.

Downloads

Published

2018-02-12

How to Cite

Arbain, N. A., Azmi, M. S., Muda, A. K., Radzid, A. R., Muda, N. A., & Nordin, R. (2018). Web-based Dynamic Similarity Distance Tool. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-7), 11–15. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3588

Issue

Vol. 10 No. 1-7: Innovative and Sustainable Technologies for Societal Wellbeing

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.