Vulnerability assessment and security configuration activities are heavily reliant on expert
knowledge. This requirement often results in many systems being left insecure due to a lack …

The difficulty in gathering teaching resources presents challenges in the process of
developing instructional materials for smart higher education. This essay makes a research …

Vulnerability assessment and security configuration of computer systems is heavily
dependent on human experts, which are widely attributed as being in short supply. This can …

Association rule mining can provide genuine insight into the data being analysed; however,
rule sets can be extremely large, and therefore difficult and time-consuming for the user to …

The use of social networks sites such as Facebook, Twitter, YouTube, Instagram, and
LinkedIn has increased rapidly in the last decade. It has been pointed out in the international …

Association rule learning (ARL) is a widely used technique for discovering relationships
within datasets. However, it often generates excessive irrelevant or ambiguous rules …

Performing both security vulnerability assessment and configuration processes are heavily
reliant on expert knowledge. This requirement often results in many systems being left …

HotSpot is an algorithm that can directly mine association rules from real data. Aiming at the
problem that the support threshold in the algorithm cannot be set accurately according to the …

Time-series data is abundant, and must be analysed to extract usable knowledge. Local-
shape-based methods offer improved performance for many problems, and a …

Different traditional frequent set discovery algorithms are applicable to data with different
characteristics. Based on the summary and understanding of the current status, this paper …