文章基本信息

标题：Customer Behaviour Analysis in E-Commerce
本地全文：下载
作者：Ayush Kumar ; Anand Mohan ; Anjali Bhatia 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：3
页码：2159
DOI：10.15680/IJIRCCE.2017.0603068
出版社：S&S Publications
摘要：In today's world, there is enormous amount of data and there is a need to use that data for betterbusiness. In Every E-commerce website, customer interaction plays a very crucial role and having a system that wouldanalyse behaviour is very useful. This includes analysing the behaviour in terms of predicting the customer's next moveand knowing what they want before they do. With the use of python and applying suitable data science algorithms,such systems can be made and implemented on any e-commerce platform. This is an example of B2C (Business toCustomer) relationship. As a result of this, a better understanding of the customers and better experience to them wouldbe provided.
关键词：Data Mining; Data analysis; Data Forecasting; Time Series; ARIMA