Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH
PaperId: :  11603
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11603
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
P.JayalakshmiAnand Institute of Higher Technology
A.KeerthanaAnand Institute of Higher Technology
A.MalathyAnand Institute of Higher Technology

Abstract

Computer Science and Engineering
Big Data, Datasets , Educational Data Mining (EDM techniques , Machine Learning , Prediction of Accuracy result.
Big Data is a large amount of data in which pouring from various data sources and has different formats. Big Data is much more than a collection of datasets with different formats, it is an important asset which can be used to obtain enumerable benefits. In the previous system, there was huge data which are being stored in databases, but because of the varied nature of this Data, the traditional relational database systems are incapable of handling this Data. The focus of our project to use Educational Data Mining (EDM) techniques to conduct a quantitative analysis of student’s interaction with an e-learning system through instructor-lead non-graded and graded courses. This project is useful for establishing a guideline for a series of online short courses for them. A group of students’ access behavior in an e-learning system was analyzed and they were grouped according to their course access log records. It will create a difference in the learning environments that change the online access behavior of a student group. By this the students have a good technological competency, have moderate competency in interaction with learning content, and lack of interaction skills with their learning community. Here additionally we compare and discuss the performance of comparative study with finding the best accuracy apply in various supervised machine learning techniques from the given dataset with GUI based application by given dataset attributes.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE P.Jayalakshmi, A.Keerthana, and A.Malathy. "GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 744-753
MLA P.Jayalakshmi, A.Keerthana, and A.Malathy. "GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 744-753.
APA P.Jayalakshmi, A.Keerthana, & A.Malathy. (2020). GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 744-753.
Chicago P.Jayalakshmi, A.Keerthana, and A.Malathy. "GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 744-753.
Oxford P.Jayalakshmi, A.Keerthana, and A.Malathy. 'GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 744-753. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_E_LEARNING_WEBSITE_USING_NAIVE_BAYES_APPROACH_ijariie11603.pdf (Accessed : 18 April 2024).
Harvard P.Jayalakshmi, A.Keerthana, and A.Malathy. (2020) 'GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 744-753IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_E_LEARNING_WEBSITE_USING_NAIVE_BAYES_APPROACH_ijariie11603.pdf (Accessed : 18 April 2024)
IEEE P.Jayalakshmi, A.Keerthana, and A.Malathy, "GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 744-753, Mar-App 2020. [Online]. Available: http://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_E_LEARNING_WEBSITE_USING_NAIVE_BAYES_APPROACH_ijariie11603.pdf [Accessed : 18 April 2024].
Turabian P.Jayalakshmi, A.Keerthana, and A.Malathy. "GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 (18 April 2024).
Vancouver P.Jayalakshmi, A.Keerthana, and A.Malathy. GUI BASED PREDICTION OF E-LEARNING WEBSITE USING NAIVE BAYES APPROACH. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 18 April 2024]; 6(2) : 744-753. Available from: http://ijariie.com/AdminUploadPdf/GUI_BASED_PREDICTION_OF_E_LEARNING_WEBSITE_USING_NAIVE_BAYES_APPROACH_ijariie11603.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 4/18/2024 1:08:10 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
MULTIPLE DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNINGCOMPUTER ENGINEERING DR. J. AMUTHARAJ Download
SOLAR TRACKING SYSTEM WITH WEATHER FORECASTING AND AUTOMATED CLEANING SYSTEMArtificial Intelligence Electrical and Electronics EngineeringVanarasan S Download
ASD PredictionComputer scienceAbhilasha M Download
Music Recommendation based on Face Emotion Using Artificial Intelligence and Machine LearningInformation Science EngineeringDr. Sreenivasa Murthy V Download
SMART TRAFFIC AI MONITORING SYSTEM-AI/MLINFORMATION SCIENCE AND ENGINEERING PRIYANKA MT Download
SHADOW THE WEB BROWSERComputer Science and EngineeringLakshmi Narayan S Download
SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEMComputer Engineering Tharun R Download
Early Detection Of Electrical Fault Line Using Artificial IntelligenceElectrical Engineering , Computer Science , Artificial IntelligenceRakshitha R Download
Real Time Object Detection Tracking using YOLO and Deep SORTInformation science and engineeringNandan M R Download
An AI-Integrated Intelligent Health Advisory System with Machine-Learning-Based Ayurvedic Formulation RecommendationInformation Science EngineeringSrinidhi G Download
Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS Information Science and EngineeringVarun V Download
Precision Agriculture Using Machine Learning and IOTComputer Science and EngineeringRamesh B E Download
A Secure Blockchain Based Voting SystemComputer Science and EngineeringSagar K R Download
Chatbot based helpdesk for Government employee and departmentsComputer science & Engineering(Cyber Security Engineerting)Dr. Shanthi S Download
Zero Trust ArchitectureComputer EngineeringAditya Yanna Download
12