E-commerce systems experience poor quality of performance when the number of records in
the customer database increases due to the gradual growth of customers and products …

The selection of appropriate cutting tool (CT) is a critical part of machining. Selecting the
right tool for the right job will enable customers to achieve economic machining, saving time …

Movie recommender systems are meant to give suggestions to the users based on the
features they love the most. A highly performing movie recommendation will suggest movies …

With the continuous improvement of smart language systems, a large amount of language
text data has emerged. How to efficiently and accurately process these text data has become …

To create a personalized E-CRM recommendation system, the electronic customer
relationship management system needs to investigate low accuracy and lack of …

The smart parking management system is needed by modern societies in order to save
drivers time getting lapsed in searching the appropriate parking for his vehicle. It will also …

Parametric models are considered the widespread methods for time series forecasting. Non-
parametric or machine learning methods have significantly replaced statistical methods in …

Graph representation of data can better define relationships among data components and
thus provide better and richer analysis. So far, movies have been represented in graphs …

In time series clustering, features are typically extracted from the time series data and used
for clustering instead of directly clustering the data. However, using the same set of features …

Recommendation systems predict desirable items for users based on their past interactions
such as ratings, likes, and shopping history. However, these systems face challenges …