A Novel Way of Information Retrieval from Xml Using Efficient Holistic Algorithms

Abstract: Data Mining (DM) is the process of searching through collecting and analyzing a huge amount of data in a database, which detects patterns or relationships. DM techniques are used to find an association between the Learning behavior and Creative Quotient (CQ) Level of students. Expectation Maximization (EM) is used to determine the similarity of students‟ creativity and learning behavior. Each cluster reveals the learning behavior of the student and Creativity. Multilayer Perceptron (MLP) predicts the learning behavior of students and their CQ Level. It reveals that there is a positive correlation between student CQ Level and Learning behavior. This analysis could help the staff members to provide the right training to the students for their improvement of CQ Level.

Keywords: Multilayer Perceptron, Criterion Reference Model, Learning Behavior, DAPLB Approach, Expectation Maximization Clustering.