Avocado Price Data Analysis Using Decision Tree

Abstract

Data mining can be a method in which a great deal of information identifies useful patterns. The paper addresses some of the strategies of knowledge mining, algorithms and a few of the companies that have applied data processing technology to develop their businesses and have found outstanding results. Data Mining is the technique of digging and analyzing a very large volume of information in order to obtain something that is actual, new, very useful and can eventually find a style or pattern in the data. Data mining is a process of mining important information from data. The method of mining valuable knowledge from data is data mining. The Decision Tree is one way for Data Mining to forecast the future by constructing a model of classification or regression in the formof a tree structure. For exploring data into a decision tree that provides rules that are easy to understand in order to identify hidden relationships between input and target variables, the decision tree approach that transforms facts in the form of data is helpful. RapidMiner is one of the Mining Decision Tree Data Analysis methods. One of the aims of this analysis is to identify data on avocado prices dispersed in several stores in several American countries. The attributes used consist of the date of the sale, average price, total volume, avocado code, which have their respective meanings, such as: 4046, 4225 and 4770.