Analytical models developed in offline settings with pre-prepared data are typically used to
predict students' performance. However, when data are available over time, this learning …

Data mining is a technique of extracting useful and hidden patterns from huge databases
that were previously unknown. It is a very promising and effective technique for the process …

The increasing popularity of Machine Learning in the education business can be attributed
to its capacity to enhance several aspects of the educational system. The objective of the …

Keyword query applies to the database which accommodate structured data provide a
search option over text attributes that uses a probability based ranking technique but query …

There are several deep learning approaches that can be applied for analyzing situations in
real world problems and inventing their solution in a scientific technique. Supervised data …

Credit card is the well accepted manner of payment in financial field. With the increasing
number of users across the globe, risks on usage of credit card has also been raised, where …

Outstanding to the promotion of the Internet and local networks, interruption occasions to
computer systems are emerging. Intrusion detection systems are becoming progressively …

Challenges to teaching programming include a lack of structured teaching methodologies
that are tailored for programming subjects while the benefits of providing programming …

Advances in the field of Machine learning have led to major improvements to Higher
educational institution's attempts to predict student performance. The capacity to predict the …

One of the biggest challenges relating to intelligent tutoring systems (ITSs) is to model them
to adapt to the individual student's needs, leading to improved learning gains through …