Intelligent Structuring of Association Rules in Data Structure

With the rapid development of society, more and more universities are applying intelligence tutor system (ITS). As we know that the discovery of associate rules plays a very important role in a ITS. In the paper, we present a method for structuring associate rules among knowledge points in data structure, which is based on formal concept analysis (FCA) considered an important Artificial Intelligence (AI) theory. A teacher (together with his/her students) first translates some related knowledge in data structure into a (binary) context, and then the procedure can automatically generate a corresponding concept lattice from which many interesting associate rules with 100% confidence can be extracted. The concept lattice and the associate rules provide the students with a vivid knowledge view, which can make the students more easily understand the inherent connections among knowledge. By using the method, we obtained a well teaching quality.