With the improvement of online transaction systems and online shopping platforms, more
and more customers choose online purchase. However, because customers and merchants …

The recent outburst of online shopping, commonly known as e-shopping, has added a new
dimension in the business sector. In these days, people tend to explore online for finding the …

In recent years, online retail has maintained rapid growth, and websites are rich in user
behavior data. The operation behaviors of users on the e-commerce platform can reflect …

Prediction analysis of customer purchase behavior is an interesting and challenging task in
modern-day life. Our objective is to introduce the concept of machine learning using a …

With the increasing influence of the Internet on people's life, the development of e-commerce
platforms is more rapid, with users and earnings of these platforms showing a growing trend …

It is generally known that, taking wise and challenging decisions is really a crucial task in
every business. Taking improper decisions can cause huge loss and even lead to shutdown …

The aim of this paper is to analyze the sales of a big superstore, and predict their future
sales for helping them to increase their profits and make their brand even better and …

The development of the internet has caused digitalization of data which opens up big data
opportunities. Digital data in large numbers leaves traces of what customers see, what they …

Sales prediction analysis requires smart data mining techniques with accurate prediction
models and high reliability. Essentially, most market segments rely on the knowhow base …

Fraud has become a major problem in e-commerce and a lot of resources are being
invested to recognize and prevent it. Present fraud detection and prevention systems are …