Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Background Health recommender systems (HRSs) are information retrieval systems that
provide users with relevant items according to the users' needs, which can motivate and …

Research about recommender systems emerges over the last decade and comprises
valuable services to increase different companies' revenue. While most existing …

Abstract Information technology has spread widely, and extraordinarily large amounts of
data have been made accessible to users, which has made it challenging to select data that …

In the era of internet and big data, recommender systems are necessary to filter out useless
information. Collaborative filtering (CF) is one of the most successful technique used in …

This paper proposes a personalized learning resource recommendation method based on
dynamic collaborative filtering algorithm. Pearson correlation coefficient is used to calculate …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

Nowadays due to smart environment creation there is a rapid growth in wireless sensor
network (WSN) technology real time applications. The most critical resource in in WSN is …

The focus of this study aims at develo** two novel hybrid intelligence models for
forecasting copper prices in the future with high accuracy based on the extreme learning …

Nowadays, recommendation systems offer a method of facilitating the user's desire. It is
useful for recommending items from a variety of areas such as in the e-commerce, medical …