Nowadays, much research leverages the clustering to mine commercial patterns from data
in enterprise systems. However, previous methods cannot fully consider local structures and …

In order to fit the requirements of future enterprise management networks with multiple
service providers, conventional mobile edge computing enabled small cells (MEC-SCs) …

Enterprise Resource Planning (ERP) systems are used to support and to control the
business processes of a company or organization. Such systems integrate the data across …

Researchers usually detect insider threats by analyzing user behavior. The time information
of user behavior is an important concern in internal threat detection. Existing works on …

Occupational fraud within companies currently causes losses of around 5% of company
revenue each year. While enterprise resource planning systems can enable automated …

Deep learning has shown broad research prospects in addressing insider threats, a serious
problem currently facing industrial information systems. Although deep learning is able to …

Purpose: This paper aims to assess the contemporary relevance of Enterprise Resource
Planning (ERP) systems and Business Process Management Systems (BPMS) in the context …

One-class classification has been a prevailing method in building deep anomaly detection
models under the assumption that a dataset consisting of normal samples is available. In …

Analyzing online learning behavior helps to understand students' progress, difficulties, and
needs during the learning process, making it easier for teachers to provide timely feedback …

Enterprise Resource Planning (ERP) systems are used by companies to support and
automate business processes. Users need to be granted the necessary permissions to be …