Mining Association Rule in Classified Data for Course Recommender System in E-Learning
نویسندگان
چکیده
منابع مشابه
Association Rule Mining of Classified and Clustered Data of e-Learning System
Classification is the supervised learning algorithm that maps the data into predefined groups & classes. Clustering is unsupervised algorithm which finds groups of objects such that the objects in one group will be similar to one another and different from the objects in another group while Association Rule algorithms are used to show the relationship between the data items. In this paper we pr...
متن کاملCombination 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...
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Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملCase Studies in Association Rule Mining for Recommender Systems
Recommender systems combine ideas from information retrieval, machine learning and user profiling research in order to provide end-users with more proactive and personalized information retrieval applications. Two popular approaches have come to dominate. Content-based techniques leverage the availability of rich item descriptions to identify new items that are similar to those that a user has ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/4829-7086