Induction motors make up approximately 80% of the electric motors in the railway sector due
to their robustness, high efficiency, and low maintenance cost. Nevertheless, these motors …

The hospitality industry is one of the data-rich industries that receives huge Volumes of data
streaming at high Velocity with considerably Variety, Veracity, and Variability. These …

Frequent itemsets are itemsets that occur frequently in a dataset. Frequent itemset mining
extracts specific itemsets with supports higher than or equal to a minimum support threshold …

Density-based spatial clustering of data with noise (DBSCAN) is a popular clustering
algorithm that groups data points which are close together using two parameters eps-which …

Image clustering is one of the key technologies for image processing. Most image clustering
methods based on density algorithms encountered with challenges including robust salient …

Web servers are flooded with programmed web scripts (termed as web robots or web
crawlers) generated HTTP requests. The detection of web traffic generated by automated …

The tourist clustering refer the aggregating of prospective tourist into different groups with
common observance by using statistical data analysis technique. In this paper, we apply the …

The hospitality industry is one of the data-rich industries that receives huge Volumes of data
streaming at high Velocity with considerably Variety, Veracity, and Variability. These …

Structural cohesion is the sociological concept and it is defined as the minimal number of
actors in a social network that needs to be removed to disconnect the group. The extraction …

A method for parameterizing an anomaly detection method, which takes a multiplicity of
sensor data points as a basis for performing a density-based cluster method, including a) …