The growth of data volume has changed cybersecurity activities, demanding a higher level
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …

The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of
data classification research. With the emergence of big data, the performance and the …

Cloud computing is considered as a new paradigm shift in distributed computing. Due to its
increasing popularity, it has gotten increasing attention in the research community. In the last …

In order to improve the authenticity of multispectral remote sensing image data analysis, the
KNN algorithm and hyperspectral remote sensing technology are used to organically …

Heterogeneous devices are connected with each other through wireless links within a cyber
physical system. These devices undergo resource constraints such as battery, bandwidth …

Cloud computing allows the users to store their data in its storage and use them whenever
they need. While the data of user is traveling outside its physical infrastructure through …

Aims: This paper aims to conduct a Systematic Literature Review (SLR) of the relative
applications of text mining in cybersecurity. Objectives: The amount of data generated …

Document clustering is a technique used to split the collection of textual content into clusters
or groups. In modern days, generally, the spectral clustering is utilized in machine learning …

The k-NN algorithm is an instance-based learning algorithm which is widely used in the data
mining applications. The core engine of the k-NN algorithm is the distance/similarity function …

Data security is a primary concern for the enterprise moving data to cloud. This study
attempts to match the data of different values with the different security management …