In the midst of the rapid advancement of technology that is now taking place, the disciplines
of processing and algorithms have arisen as very important areas of research and practical …

Computer systems have evolved to the point that they are indispensable to all aspects of a
company's operations, including manufacturing, customer service to bookkeeping, and other …

ES are comprehensive software solutions that support and integrate a wide range of
business processes within an organization. These systems are crucial for enhancing …

Data has become a crucial asset in today's digitalised world, playing a key role in driving
decision-making processes, fostering innovation, and promoting economic progress [1] …

Clustering algorithm such as k-Means is highly sensitive to the scale of input features. A
common approach to mitigate this issue is Min-Max scaling normalization, which rescales …

Anomaly detection is one of the most mature applications in time series data analysis.
However, due to the nonlinearity of time step and sequence, it often leads to abnormal state …

The fundamental concept of partition-based clustering algorithms is to consider the data
point's center as the center of its associated cluster. In the initiation phase of clustering …