Basket Market Analysis Using R-Based Apriori Algorithm to Find Information From Sales Data

Abstract

Market Basket Analysis is a data mining technique that is used to determine which products a customer will buy simultaneously by analyzing a list of customer transactions. By knowing these products, an e-commerce system can create or develop a customer profile system and can determine its own customer catalog layout. This journal discusses data mining techniques, with association rules that can help check customer buying behavior and increase sales. The result can provide reference prices for cross selling, designing promotions and placing merchandise in stores increasing sales

Classification System for Soil Types Suitable for Food Crops using Naïve Bayes Method

“…In addition to some o f t h e s e researches, the author a l s o took s o m e references to other researches that are related to the researcher's research with the aim of providing more references of the p a s t researches that the author has used a s references include implementation of data mining using naïve bayes classifier in Food Crop prediction [17], implementation of the naïve bayes method in recommendations for planting food crops [18], classification of soil and crop suggestions using machine learning techniques [19], machine learning based soil classification for crop suggestion [20].…”