[PDF] Top 20 Predicting the Performance of Students in Higher Education using Data mining Classification Algorithms
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Predicting the Performance of Students in Higher Education using Data mining Classification Algorithms
... a data set of size 50 MCA students for mining educational data to analyze students’ ...for classification and to predict the performance of the ...the data ... See full document
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Title: Student Performance Analysis Using Data Mining Technique
... in Education domain, and by Baker and Yacef [2] for the period after 2005 in Education ...of data mining in higher education and explains how data mining saves ... See full document
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Feature Selection Algorithms For Predicting Students Academic Performance Using Data Mining Techniques
... (FS) algorithms in combination with classification algorithms to compare the prediction accuracy of varying student ...Educational Data Mining using Improved Decision Tree," ... See full document
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The efficacy of using data mining techniques in predicting academic performance of architecture students.
... academic performance to relevant stakeholders. Student academic performance is a metric that quantifies learning outcomes This could be as a result of poor student academic ...academic performance ... See full document
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A Comparative Study On Students Placement Performance Using Data Mining Algorithms
... obtained using the fuzzy logic is about ...for predicting the students‘ placement ...a higher education institution in Ethiopia, Since the number of students getting enrolled ... See full document
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Academic Performance Prediction for Success Rate Improvement in Higher Institutions of Learning: An Application of Data Mining Classification Algorithms
... student performance at high school level, identification of the slow learners’ performance, identification of the highly influencing predictive variables on the academic performance of high school ... See full document
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Analysis and Mining of Educational Data for Predicting the Performance of Students
... don’t have to select the subset of variables for further analysis which is the main purpose of applying feature selection to data. However, feature selection could be also used as a pre-processor for predictive ... See full document
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Predicting and Analysis of Students’ Academic Performance using Data Mining Techniques
... of data that increase daily and it is very important to analyze this data to discover the useful infor- mation and knowledge from ...it. Data mining (DM) or knowledge discovery from ... See full document
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Classification Of Outliers For Predicting The Heart Disease Using Distributed Data Mining With Ai
... unsupervised data to provide good classification of the outliers and ...of performance are not measured in terms of higher level of prediction and ...the performance metrics of memory ... See full document
5
Mining Educational Data Using Data Mining Techniques and Algorithms –A Review
... the students based on learning behaviour and their academic performance they used students semester marks in different subjects they evaluate the performance based ... See full document
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Educational Data Mining for Classification of Students based on their Performance
... past performance monitoring is an essential part in predicting future performance and hence classify them ...weaker students so that the students can improve their performance in ... See full document
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... of data mining have been used in both, commercial and research ...in education and industrial sectors to improve their ...that data mining can be applied to large database to explore ... See full document
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Predicting Dropout Students Using Data Mining Techniques
... tree algorithms like ID3, J48, ADT ...for classification is ID3, ...evaluation data set, this is necessary to get a reasonable idea of accuracy of the generated ... See full document
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Performance Analysis and Prediction in Educational Data Mining: A Research Travelogue
... ward performance in such ...the performance of these students with additional ...of data mining techniques have shown noteworthy results in the area of fraud detection, ... See full document
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Appraisal of the Classification Technique in Data Mining of Student Performance using J48 Decision Tree, K Nearest Neighbor and Multilayer Perceptron Algorithms
... student performance is to find out new values and relationships among data ...several algorithms used in EDM to study student performance. Algorithms such as Sequential Minimal ... See full document
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International Journal of Computer Science and Mobile Computing
... of students into various courses or programs every ...from students at the time of admissions and store the same in ...of data is essential from business point of view. Data can be used for ... See full document
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... rule mining to extracts useful information from a large set of ...student’s data, their techniques mentioned above are used for matching the organization with the ...on predicting performance ... See full document
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Educational Mining: A Comparative Study of Classification Algorithms Using WEKA
... ABSTRACTː Data mining is used to analyse large volumes of ...data. Classification is one of the techniques in data mining which will be used to predict the target attribute ... See full document
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Classification and performance evaluation using data mining algorithms
... Educational data mining (EDM) is a field that exploits machine-learning, statistical and data-mining algorithms over the different types of educational ...analyse data in order ... See full document
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... Educational Data Mining (EDM) is an emerging research area, in which data mining techniques are applied for exploring data in educational ...how students learn and identify the ... See full document
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