The ability to monitor the progress of students academic performance is a critical issue to the
academic community of higher learning. A system for analyzing students results based on …

Abstract Knowledge in web documents, Relevance ranking of webpages and so on are
some of the under-researched areas in web content mining (WCM). Apart from the general …

Accepted: 12 November 2020 Data Clustering is the process of grouping the objects in a
way which is identical to the objects in the same group than in other classes. In this paper …

Due to the advancement of technology in this digital era, academic institutions are bringing
out graduates as well as generating enormous amounts of data from their systems. Hidden …

In educational data mining, identifying academic courses that contribute significantly to
students' class of degree and predicting students' performances can help in the choice and …

The formalism of Minkwosky's inequality in Omolehin (2007a) is used in this work
fundamentally to generate the fuzzy model for system performance appraisal in two public …

One of the significant facts in higher learning institution is the explosive growth of
educational data. These data are increasing rapidly without any benefit to the management …

The ability to monitor the progress of students' academic performance is a critical issue and
monitoring student academic performance is not an easy task. Many factors could act as …

The Devine power of God has made me to reach the apex of the carrier given to me by Him. I
have passed through the shadow of death several times but the Almighty God still spare my …

In this paper a review of k-means, incremental k-means and DM algorithm is presented. How
the objects are clustered based on the three partitioning algorithms is shown. The …