To Identify the Location through Data Mining Algorithm by Using Vertical Data Format | Original Article

ABSTRACT:

To deal with very large database in supply – chain management is very crucial issue. The important factor of supply chain management is to find the particular location where a group of items are frequently required or consumed. As we know that the emerging technology gives the facility to collect tremendous amount of data. The data about customers, distributors, wholesalers, suppliers to the different cities are available. So it becomes necessary to manage the data. The selection of different locations is a big problem from the data. There are many items supplied to different locations and a single location may require many items. In this paper I am going to discuss the problem of selection of those locations which require group of items frequently and the solution of the above is proposed with the help of data mining technique. For this I assumed the data about items and locations. The proposed method includes the Association Rule mining. Vertical Data Format has been used to find out the frequent item sets required or consumed by the location. That item set is used to find primary and secondary locations.