Basket analysis is a prevailing technique to help retailers uncover patterns and associations
of sold products in customer shopping transactions. However, as the size of transaction …

A quality monitoring system for telecommunication services is relevant for network operators
because it can help to improve users' quality-of-experience (QoE). In this context, this article …

This article proposes single-objective/multiobjective cat swarm optimization clustering
algorithms for data partition. The proposed methods use the cat swarm to search the optimal …

Structural node similarity is widely used in analyzing complex networks. As one of the
structural node similarity metrics, role similarity has the good merit of indicating …

Due to the widespread popularity of cyber-social networks, research on community and
social role discovery has drawn immense attention. Most of the available literature consider …

With the rapid development of information technology, social media has been widely used,
and Internet information has been exploded, and consumers may experience information …

As a fundamental issue in network analysis, structural node similarity has received much
attention in academia and is adopted in a wide range of applications. Among these …

In recent years, Collaborative Filtering (CF) methods have yielded immense success on
recommender systems. They mainly use the similarity between users and items, or the …

Research on recommendation systems in bipartite networks has mainly been dedicated to
enhance the accuracy of recommendations while neglecting the fact that complete historical …

Graphs are widely used to represent interactions (ie, edges) between entities (ie,
nodes/vertices) in a large spectrum of applications, including social networks, biological …