Sunita B. Aher

6Lobo L M R J
2Lobo L M R J M E
2Cse )-Ii Associate
1M Jorge
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Data Mining is the extraction of hidden predictive information from large database which can be used in various commercial applications like bioinformatics, E-commerce etc. Association Rule, classification and clustering are three different algorithms in data mining. Course Recommender System plays an important role in identifying the behavior of students(More)
In this paper we consider the applicability of data mining algorithms such as clustering & association rule algorithm for recommending the courses to the student in E-Learning System e.g. the student who liked to study the course "Operating System" is quite like to study the course "Distributed System". We develop the algorithm in java which is the(More)
The ADTree (Alternating Decision Tree) is a supervised classification technique that combines decision trees with the predictive accuracy into a set of classification rules & association rule algorithms are used to show the relationship between data items. Here in this paper we combine these two algorithms & apply it to sample data obtained from Moodle(More)
Data preparation is the important step in Course Recommendation System which aims at predicting the course selected by student. In this paper we present the data preparation strategy for Course Recommendation System. Here we have used the real data of courses offered through Moodle package of the college & apply the data preparation strategy to it to find(More)
Now a day E-learning is becoming popular as it helps to fulfil the necessities of remote students and helps the teaching-learning process in Education system. Course Recommender System in E-Learning is a system which recommend the course to the student based on the choice of various student collected from huge amount of data of courses offered through(More)
A course Recommender System plays an important role in predicting the course selection by student. Here we consider the real data from Moodle course of our college & we try to obtain the result using Weka. Association rule algorithms are used to find out the best combination of courses in E-Learning. Here in this paper we consider four association rule(More)
Clustering is one of the most important techniques of data mining. Clustering technique in data mining is an unsupervised machine learning algorithm that finds the groups of object such that objects in one group will be similar to one another and are dissimilar to the objects belonging to other clusters. Clustering is called unsupervised machine learning(More)
The course recommendation system in e-learning is a system that suggests the best combination of subjects in which the students are interested. In this paper, we propose a framework for recommendation of courses in the E-learning system. In our approach we collect the data for example student enrollment for a specific set of course. After getting data, we(More)
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