A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets

Amal Alhatali; Arockiasamy Soosaimanickam

EN

A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets

Abstract

In oman, Fishing is one of the oldest professions that provides significantly to the national economy and for creating more job opportunities, especially, where many people completely depend on this income as an important source of living. The customers dealing with Fish markets in Oman need a good and innovative software platform to help them to deal with the problem of increasing of fish prices. This study aims at analysing various factors behind increasing prices in Oman fish markets using some data mining algorithms, by means of studying the old data that kept on the database that will assist to make a proper decision. The research has been conducted for the data collected from 29 fish markets in Sultanate of Oman and 15 fish species in each markets have been considered. To analyse the data, data mining algorithms, namely J48 algorithm, Decision Stump, and Random Tree has been chosen to perform the classification of data to find the most affected factor in fish price variations. The suitable algorithm has been chosen based on the good performance, which has been used for building an application. The result of the study shows that the Time is the major factor for price variations followed by Place and then the quantity. This application model will help customers to get different information about prices in fish markets in Oman.

Keywords

Oman Fish Market,Factor Analyses,Attribute Selection,Information Gain,Weka software,Classification algorithm

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Amal Alhatali ^*
0000-0002-6821-9397
Oman

Arockiasamy Soosaimanickam
Oman

Publication Date

August 1, 2018

Submission Date

June 23, 2018

Acceptance Date

August 2, 2018

Published in Issue

Year 2018 Volume: 1 Number: 2

IZ

https://izlik.org/JA95SC69GM

Cite

RIS / Bibtex

APA

Alhatali, A., & Soosaimanickam, A. (2018). A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets. Sakarya University Journal of Computer and Information Sciences, 1(2), 1-16. https://izlik.org/JA95SC69GM

AMA

1.Alhatali A, Soosaimanickam A. A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets. SAUCIS. 2018;1(2):1-16. https://izlik.org/JA95SC69GM

Chicago

Alhatali, Amal, and Arockiasamy Soosaimanickam. 2018. “A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets”. Sakarya University Journal of Computer and Information Sciences 1 (2): 1-16. https://izlik.org/JA95SC69GM.

EndNote

Alhatali A, Soosaimanickam A (August 1, 2018) A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets. Sakarya University Journal of Computer and Information Sciences 1 2 1–16.

IEEE

[1]A. Alhatali and A. Soosaimanickam, “A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets”, SAUCIS, vol. 1, no. 2, pp. 1–16, Aug. 2018, [Online]. Available: https://izlik.org/JA95SC69GM

ISNAD

Alhatali, Amal - Soosaimanickam, Arockiasamy. “A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets”. Sakarya University Journal of Computer and Information Sciences 1/2 (August 1, 2018): 1-16. https://izlik.org/JA95SC69GM.

JAMA

1.Alhatali A, Soosaimanickam A. A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets. SAUCIS. 2018;1:1–16.

MLA

Alhatali, Amal, and Arockiasamy Soosaimanickam. “A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets”. Sakarya University Journal of Computer and Information Sciences, vol. 1, no. 2, Aug. 2018, pp. 1-16, https://izlik.org/JA95SC69GM.

Vancouver

1.Amal Alhatali, Arockiasamy Soosaimanickam. A Comparative Study of the Efficient Data Mining Algorithm to Find the Most Influenced Factor on Price Variation in Oman Fish Markets. SAUCIS [Internet]. 2018 Aug. 1;1(2):1-16. Available from: https://izlik.org/JA95SC69GM