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

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.