A Big Data Analysis and Mining Approach for IoT Big Data

Abstract

These days, large amounts of data are produced by various ways such as stock data, market basket transactions, IoT sensors, etc. Such data can be accumulated and analyzed to provide helpful information in our lives. With the rapid development of IoT sensors and automated markets, the market basket data can be automatically generated. For these reasons, we choose the market basket data to analyze and find the association rules between big data sets. To do the data mining, we use R programming[1], which helps to organize the data and to visualize the data sets.