Mining the feature of electronic products from the Amazon data for predicting electronics ratings using Weka

Abstract

In recent years, Big Data is a global trend not just in IT field but also in other specialties, especially in the 21st century. For example, all the e-commerce websites in the world are having enormous visits from clients around the world to their items via social network or media platforms, and the manner in which the developers deal with every information of clients is very difficult. In order to work with Big Data easier, two famous and efficient methods that have been created are machine learning and data mining. This thesis will demonstrate more knowledge about Big Data and Mining Big Data with WEKA. The work will focus on the demo using algorithms to classify Big Data (Electronics) based on Electronics ratings. Furthermore, this thesis will illustrate the definition of Big Data, as well as WEKA and its methodology, and WEKA’s API and building a prototype of an Electronics recommendation system.