[PDF] Top 20 Best Combination of Machine Learning Algorithms for Course Recommendation System in E learning
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Best Combination of Machine Learning Algorithms for Course Recommendation System in E learning
... bioinformatics, E- commerce ...different algorithms in data mining. Course Recommender System plays an important role in identifying the behavior of students interested in particular set of ... See full document
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Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E learning
... this Course Recommendation System, we have considered the 13 course ...the learning management system ...the best combination courses, first we need to preprocess ... See full document
8
Prediction of Course Selection by Student using Combination of Data Mining Algorithms in E Learning
... this Course Recommendation System, we have considered the 13 course ...for Course Recommender System is given in the figure ...the learning management system ...the ... See full document
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A Comparative Study of Association Rule Algorithms for Course Recommender System in E learning
... about course selection by student is stored in moodle ...the best combination of ...low course count & student count ...OS-I(Operating System-I), CN-I(Computer Network-I), VB(Visual ... See full document
5
A Comparative Study for Selecting the Best Unsupervised Learning Algorithm in E Learning System
... The course recommendation system in e-learning is a system that suggests the best combination of subjects in which the students are interested ...for Course ... See full document
8
An Efficient Ensemble Machine Learning System for Restaurant Recommendation
... rating system to predict outcome and later uses the description of the items to get the unseen ...various recommendation algorithms and classification ...the algorithms involved in ... See full document
8
Analysis of Machine Learning through Support Vector Machine: Catalyst
... a machine learning method, SVM is a one of the important system for data analyzing and pattern recognition ...AWBES Course Organization and Implementation Section were taught into adaptive ... See full document
5
A Review Paper on Machine Learning Based Recommendation System
... unsupervised learning algorithm, although some applications use manually determined ...Some algorithms classify users into multiple segments and describe the strength of each ...However, ... See full document
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Recommendation System for E Learning Platforms
... proposed system is for learners who want to know which course is best suited for ...from E-Learning websites using web scraping technologies using python-based tools so that datasets ... See full document
5
A Machine Learning based Music Retrieval and Recommendation System
... Table 5 shows parts of our results. There are five columns. The first column is the baseline of Last.fm’s results. The other four are the results from combination of features. Sec- tion 5.4. shows that artists ... See full document
8
The Design of Hybrid Crop Recommendation System using Machine Learning Algorithms
... KNN algorithms are discussed by Prajakta Prashant Bhangale ...support system is elaborated in [13]. The crop recommendation system is proposed by ...various machine learning ... See full document
7
Selecting the Best Supervised Learning Algorithm for Recommending the Course in E Learning System
... 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 ... See full document
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Title: Supremacy of Rotation Forest with LMT Base Classifier in Prediction of Phishing Websites
... So, the growth of the phishing websites appears to be surprising. Even though the web users are attentive of these kinds of phishing attacks, lot of users become victim. Therefore, predicting and stopping this attack is ... See full document
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A Novel Comparative Study on Data Mining Tools
... The main focus of this relative study is to offer a platform to learn several data mining tools without having to spend a lot of time in examining for resources and tutorials. Additional vital aspect is to improve the ... See full document
5
Classification of Emotional States in Parkinson’s Disease Patients using Machine Learning Algorithms
... energy-entropy combination feature using PNN and KNN in time domain performs evenly well (above 80.07% to 90.74%) for all emotions. Whereas other features gives lower accuracy values of below 60% for few emotions. ... See full document
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... The Net Beans project consists of an open source IDE and an application platform that help developers to rapidly create web, enterprise, and mobile applications [9]. It offers a full- fledged IDE that runs on multiple ... See full document
5
Research and Practice of Personalized Learning Recommendation Based on Dynamic Community Discovery
... collaborative learning algorithm is used to dynamically analyze the user personalized learning model through data mining ...the learning situation of the individual participating in the online ... See full document
7
Development of Adaptive E Learning Course in Moodle System
... Abstract. E-learning has been actively developing ...adaptive e-learning course on the Moodle platform. The course is based on a tree of concepts and discipline operations; the ... See full document
5
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
... ment learning algorithm to solve many kinds of problems, such as relation classification (Feng et ...reinforcement learning al- gorithm to conduct course ...inforcement learning aims at ... See full document
8
The Video Recommendation based on Machine Learning
... Hadoop system for Big Data dissecting ...programming system for putting away and preparing substantial ...versatile machine learning library for comprehending bunching, order, grouping ...for ... See full document
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