In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or
presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer …

Previous studies widely report the optimization of performance predictions to highlight at‐
risk students and advance the achievement of excellent students. They also have …

Predicting classifiers can be used to analyze data in K-12 education. Creating a
classification model to accurately identify factors affecting student performance can be …

The ultimate goal of any educational institution is offering the best educational experience
and knowledge to the students. Identifying the students who need extra support and taking …

The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships
between the multiple attributes a book might have, such as: the aggregate rating of each …

Accurate predictions of students' academic performance at early stages of the degree
programme helps in identification of the weak students and enable management to take the …

BACKGROUND Virtual reality surgical simulators provide a safe environment for trainees to
practice specific surgical scenarios and allow for self-guided learning. Artificial intelligence …

An enormous measure of computerized information is being produced over a wide
assortment in the field of data mining strategies. The creation of student achievement …

Currently, college-going students are taking longer to graduate than their parental
generations. Further, in the United States, the six-year graduation rate has been 59% for …

Educational data mining is an emerging research field concerned with developing methods
for exploring the unique types of data that come from educational context. These data allow …