E-Learning in Data Analytics on Basis of Rule Mining Prediction in DM Environment

E-Learning in Data Analytics on Basis of Rule Mining Prediction in DM Environment T. Nagarathinam V.R. Elangovan Ahmed J. Obaid D. Akila Dang Quang Tuyen Abstract Nowadays, most of the information science inquires about a spotlight on affiliation rule to decide explicit examples and rules from huge information. Affiliation guideline is worked by basic information duration device, for example, WEKA which incorporates arrangement, bunching, affiliation runs, etc. When all is said in done, the affiliation standard could be pertinent for enormous E-Learning datasets like they were pertinent towards the formless arrangement. Within this exam, the uses for affiliating rule after gathering under straight information for a considerable length of time from LMS have been explored. Intriguing quality measurements and other applicable understudy inclinations are caught in the wake of thinking about a few affiliation rule calculations. Some imagined introductions of rules and their applicable outcomes will be exhibited in wording reasonableness in eLearning conditions. 07 01 2021 012166 http://dx.doi.org/10.1088/crossmark-policy iopscience.iop.org E-Learning in Data Analytics on Basis of Rule Mining Prediction in DM Environment Journal of Physics: Conference Series paper Published under licence by IOP Publishing Ltd http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining 10.1088/1742-6596/1963/1/012166 https://iopscience.iop.org/article/10.1088/1742-6596/1963/1/012166 https://iopscience.iop.org/article/10.1088/1742-6596/1963/1/012166/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1963/1/012166/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1963/1/012166 https://iopscience.iop.org/article/10.1088/1742-6596/1963/1/012166/pdf Intemational Journal of Computer Science and Communication Aher 3 159 2012 Course recommender system in e-leaming Laney 2001 3D Data Management: Controlling Data Volume, Velocity, and Variety Agrawal 22 207 1993 International Journal of Electrical & Computer Science IJECS-IJENS Kamepalli 14 31 2014 Apriori Based: Mining Infrequent and Non-Present Item Sets from transactional Data Bases International Journal of Engineering Research & Technology (IJERT) Nedunchezhian 5 42 2016 Association Rule Mining on Big Data–Survey Scheffer 2168 424 2001 Azevedo 510 2007 Comparing Rule Measures for Predictive Association Rules International Journal of Advanced Research in Computer and Communication Engineering Karthikeyan 3 2014 A Survey on Association Rule Mining Witten 654 2010 4 International Journal of Engineering Research & Technology (IJERT) Kumar 1 1 2012 Evaluating the performance of apriori and predictive apriori algorithm to find new association rules based on the statistical measures of datasets KIET International Journal of Intelligent Computing and Informatics Shrivastava 1 12 2014 Implementation of Apriori Algorithm using WEKA Journal of Privacy and Confidentiality Reiter 6 17 2014 10.29012/jpc.v6i1.635 Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data Romero 2010 Blaskova 18 2017 HRM&E : Human Resources Management and Ergonomics Vidrikova 7 128 2013 Perspective of development of services in private security and necessity of classification of new types of positions in this sphere in Slovak Republic Vidrikova 2014 Boc 26 2017 Vidrikova 714 2016 Vaclavkova 409 2017 Tongkaw 117 2016 Barnes 2016 6 Bauer 2016 2 Krcho 2016 Kovalcikova 2017 Vasko 2018 International Journal on Computer Science and Engineering Jantan 2 2526 2010 Human Talent Prediction in HRM using C4.5Classification Algorithm Akila 539 2020 Obaid 201 2021 Rimal 1804 2021