Abstract Knowledge space theory (KST) provides an effective way to construct knowledge
evaluation system. Formal concept analysis (FCA) is a powerful tool for knowledge …

With vigorous development of the Internet, e-learning system has become more and more
popular and many adaptive learning systems have been developed. In recent years …

We discuss an incremental method which learns a concept definition from examples and
counter-examples. We present two bottom-up algorithms: MG and MGI that learn …

In classic supervised learning, a learning algorithm takes a fixed training data of several
classes to build a classifier. In this paper, we propose to study a new problem, ie, building a …

Online learning is becoming more popular because of its advantages such as location
independent and time independent learning. Hence it is very much essential to design …

Our goal in this study was to compare the effectiveness of displaying the open student model
as a set of skillometers versus concept maps. The data suggests that concept maps are …

In many information system applications, the environment is dynamic and tremendous
amount of streaming data is generated. This scenario enforces additional computational …

We have recently introduced an incremental learning algorithm, Learn++. NSE, designed to
learn in nonstationary environments, and has been shown to provide an attractive solution to …

It is a primary concern to observe the student's academic performance for high learning. This
paper proposes a method for student's results classification centered on the clustering of …

The learning method to acquire decision rules from a set of preclassified examples is an
important research area in machine learning. A novel learning method is proposed, which is …