Open AccessSurvey Paper on Information based Learning System using Educational Data Mining
Author(s) -
D. B. S. Suresh Kumar
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35431
Subject(s) - computer science , educational data mining , data warehouse , data mining , fetch , filter (signal processing) , constructive , data science , machine learning , process (computing) , oceanography , computer vision , geology , operating system
Educational Data Mining (EDM) is a platform for learning and exploring from data to get essential information and generate the unique pattern which will help study, analyse and skill student performance in academic. Various data mining methods can be apply to filter the data from data warehouse to implement data mining techniques which helps student for taking decisions for better outcome. The model which can be use in Educational data mining must be a constructive and descriptive model applied on data warehouse and must gather very accurate data for enhance the performance of study. Regression analysis can also be used to develop a model to use as study tool; it can be used dependent or independent variables. If the model is enough perfect for using as study tool then every cluster of data must be use that model to fetch the resultant data. Sometimes educational data mining is considered as overall performance of students, but each student has its own level of understanding the contents so that method must also be enough flexible for every one ; for fulfilling this requirement educational method can be complex, but once it is constructed then it will helpful for every one. This paper is describing various data mining techniques and their proper uses.