[PDF] Top 20 Predicting Dropout Students Using Data Mining Techniques
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Predicting Dropout Students Using Data Mining Techniques
... the field of education. Educational Data Mining, concerns with developing methods that discover knowledge from data originating from educational environments. Examination plays a vital role in any ... See full document
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Model for Predicting the Risk of Kidney Stone using Data Mining Techniques
... and data mining aspects of kidney stone disease using 10000 data-sets consisting of 5000 each for the positive and negative ...The data consisted of 42 attributes which were used to ... See full document
21
Applying Data Mining Techniques for Predicting Diseases
... Classification is that the most ordinarily applied data mining technique that employs a group of pre-classified examples to develop a model that may classify the population of records at massive. This ... See full document
5
Supervised Deep Learning Approach To Identify the Lung Cancer
... various data mining techniques in predicting cancer and proposed a methodology of introducing a data mining (Data Integration, Data Selection, Data Cleaning, ... See full document
6
Prediction of Dropout Students from Engineering Education using Educational Data Mining (EDM)
... of data. Data mining has been used in a various fields, including retail sales, bioinformatics, and ...of data arising from settings in education, and implementing those methods to understand ... See full document
9
Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review
... To predict National Stock Exchange market precisely is very complex task till date. We propose to build simple user friendly stock analysis and prediction system based on technical data, fundamental data ... See full document
6
A Review on Prediction of Academic Performance of Students at-Risk Using Data Mining Techniques
... The data mining tools came into existence as the need of the researchers to access the data also ...The data mining tools play an important role in the filtering of data, as ... See full document
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Predicting Student's Performance in Education using Data Mining Techniques
... Data mining is practically applied in many fields like sales/marketing to better plan and organize the work so that it is more ...stage using diverse applications of DM. Students and Alumni ... See full document
7
Big data for development: applications and techniques
... big data related developments in education: learning analytics and educational data ...combines data analytics and learning, thus bringing researchers together from various fields such as computer ... See full document
24
Analysis and Mining of Educational Data for Predicting the Performance of Students
... In the first step, a model is built describing a predetermined set of data classes or concepts. The model is constructed by analyzing database tuples described by attributes. Each tuple is assumed to belong to a ... See full document
6
Advanced Coherent System For Predicting Cardiac Risks using Data Mining Techniques
... Proposed methodology uses various algorithms and mainly Random Forest, Naïve Bayes and Support Vector Machine(SVM) algorithms to predict if any such cardiac risk levels exists for early automatic diagnosis with the help ... See full document
5
ID3 Classifier for Pupils' Status Prediction
... Predicting the pupil’s status is the primary goal. Many studies have been made by a large number of scientists to explore the prediction of their research. One best solution is predicting the results based ... See full document
5
Analytical Study of Performance of Students using Data Mining Techniques
... which students access e-learning resources as they solve set assessment tasks, like tests, assignments and exams and also the links with students ...information mining methodology for identifying and ... See full document
7
International Journal of Computer Science and Mobile Computing
... in data mining to predict students’ GPA, expectations with regard to specialisation selection, complaints and satisfaction levels based on demographic, geographic, psychographic and behavioural ... See full document
10
Heart Disease Prediction System Using Data Mining Techniques
... The experimental results have shown that, in general, J48 Decision Tree algorithm outperformed Naïve Bayes classifier and Neural Networks in the domain of predicting heart disease cases. One possible explanation ... 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 ... See full document
8
ANALYSIS OF STUDENTS DROPOUT FORECASTING USING DATA MINING
... educate students in a better way. In order to increase the number of students getting passed, the students that may get failed in that particular year in academics need to find ...of students ... See full document
6
Twitter Data Predicting Geolacation Using Data Mining Techniques
... In every language, some words are particularly common. While their use in the language is crucial, they don’t usually convey a particular meaning, especially if taken out of context. This is the case of articles, ... See full document
8
Feature Selection Algorithms For Predicting Students Academic Performance Using Data Mining Techniques
... The considered dataset for this study has taken from Kalboard-360, which is a Multi-agent Learning Management System. In this technological era, such an online learning platform provides the user with unlimited access to ... See full document
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DATA MINING TECHNIQUES FOR PREDICTING SCHOOL FAILURES AND DROPOUT
... the students are aged between 15 and 16 and this is the years with the highest rate of ...all students and school services provides the score obtained by the students in all subjects of ... See full document
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