Researchers worldwide have become increasingly interested in develo** computational
approaches to handle challenges facing electric vehicles (EVs) in recent years. This article …

Abstract An Intrusion Detection System (IDS) is a security mechanism that is intended to
dynamically inspect traffic in order to detect any suspicious behaviour or launched attacks …

Context. Educational Data Mining (EDM) is a new and emerging research area. Data mining
techniques are used in the educational field in order to extract useful information on …

The current Learning Management Systems used in e-learning lack intelligent mechanisms
which can be used by an instructor to group learners during an online group task based on …

Hydro power generation can be planned on small-scale on existing small rivers, canals etc.
The Government of India has declared the revised policy for development of small hydro …

In data mining or machine learning clustering is very broad area. Clustering is a technique
which decomposes the data set into different cluster. There are many clustering algorithms …

Curricula for Computer Science (CS) degrees are characterized by the strong occupational
orientation of the discipline. In the BSc degree structure, with clearly separate CS core …

Abstract k-means is one of the most widely used partition based clustering algorithm. But the
initial centroids generated randomly by the k-means algorithm cause the algorithm to …

Longitudinal clustering techniques are widely deployed in computational social science to
delineate grou**s of subjects characterized by meaningful developmental trends. In …

The problem of local minimum in k-means clustering, is commonly addressed by running the
algorithm repeatedly in order to choose the best run. Although effective, the approach is …