Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning
نویسندگان
چکیده
منابع مشابه
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning
Data mining also known as Knowledge Discovery in Database is the process of discovering new pattern from large data set. E-learning is the electronically learning & teaching process. Course Recommender System allows us to study the behavior of student regarding the courses. In Course Recommender System in E-learning, we collect the data regarding the student enrollments for a specific set of da...
متن کاملCombination of Clustering, Classification and Association Rule based Approach for Course Recommender System in E-learning
Data mining also known as Knowledge Discovery in Database is the process of discovering new pattern from large data set. E-learning is the electronically learning & teaching process. Course Recommender System allows us to study the behavior of student regarding the courses. In Course Recommender System in E-learning, we collect the data regarding the student enrollments for a specific set of da...
متن کاملDeveloping a Course Recommender by Combining Clustering and Fuzzy Association Rules
Each semester, students go through the process of selecting appropriate courses. It is difficult to find information about each course and ultimately make decisions. The objective of this paper is to design a course recommender model which takes student characteristics into account to recommend appropriate courses. The model uses clustering to identify students with similar interests and skills...
متن کاملA Clustering Rule Based Approach for Classification Problems
Predictive models, such as rule based classifiers, often have difficulty with incomplete data (e.g., erroneous/ missing values). So, this work presents a technique used to reduce the severity of the effects of missing data on the performance of rule base classifiers using divisive data clustering. The Clustering Rule based Approach (CRA) clusters the original training data and builds a separate...
متن کاملAn Improved Neighborhood-Restricted Association Rule-based Recommender System
Association rule mining is an actively studied topic in recommender systems. A major limitation of an association rule-based recommender system is the problem of reduced coverage. It is generally caused due to the usage of a single global minimum support (minsup) threshold in the mining process, which leads to the effect that no association rules involving rare items can be found. To confront t...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/4830-7087