USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE Paulo Cortez and Alice Silva Dep Information Systems Algoritmi R D Centre University of Minho 4800-058 Guimar˜aes PORTUGAL Email
A Review on Predicting Students Academic Performance Earlier Using Data Mining Techniques P Kavipriya Assistant Professor Department of Computer Science CMS College of Science and Commerce Abstract The
tages of the standard techniques used in data mining and machine learning The thesis rst presents a general overview of data mining in Chapter 2 and provides a state of the 8 art of di erent learning algorithms In Chapter 3 we
2019 11 06· Accompanying Paper Using Data Mining to Predict Secondary School Student Performance Objective My objective was to build a model that would predict whether or not a student would fail the math course that was being tracked
IJACSA International Journal of Advanced Computer Science and Applications Vol 7 No 5 2016 212 P a g e Educational Data Mining Students Performance Prediction Amjad Abu Saa Information
using data mining techniques to predict the performance of newly applicants Depending on attributes selected from their CVs job applications and interviews Their performance could be predicted to be a base for
Using Data Mining Techniques to Predict Students at Risk of Poor Performance Zahyah Alharbi James Cornfordy Liam Dolderzand Beatriz De La Iglesia School of Computing Sciences University of East Anglia UK fz alharbi b
Survey on Predicting Performance of An Employee using Data Mining Techniques S E Viswapriya Department of Computer Science and Engineering SCSVMV University Kanchipuram Tamilnadu India Abstract - Predicting analytics …
Predicting Student Performance using Advanced Learning Analytics Ali Daud a d a Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia adfmohamad kau edu sa Naif Radi Aljohani a
International Journal of Computer Applications 0975 8887 Volume 70 No 17 May 2013 22 An Educational Data Mining Model for Predicting Student Performance in Programming Course A F ElGamal Department of CS
performance by using advantage of data mining techniques model Predicting student performance in a specific subject based on their performance of test result components during the performance by applying the C4 5
2018 11 16· Predicting students performance using classification techniques in data mining 1 INTERNATIONAL JOURNAL OF TECHNOLOGY AND COMPUTING IJTC ISSN-2455-099X Volume 2 Issue 10 October 2016 IJTC201610001 www ijtc org 489 Predicting Students Performance Using Classification Techniques in Data Mining …
2013 11 14· Data Mining Techniques in EDM for Predicting the Performance of Students Article PDF Available · November 2013 with 356 Reads How we measure reads A read is counted each time someone views
Predicting Student Academic Performance in KSA using Data Mining Techniques Nawal Ali Yassein 1 Rasha Gaffer M Helali2 and Somia B Mohomad1 1Community College Najran University King Abdulaziz Rd Najran Saudi 2
Research PAKISTAN BUSINESS REVIEW JANUARY 2012 Predicting Factors That Affect the Student s Academic Performance 636 Data mining techniques like decision tree neural network Bayesian network were used in the
Predicting Student s Performance using CART approach in Data Science International Conference on Electronics Communication and Aerospace Technology ICECA 2017 4 Alana M de Morais Joseana M F R Araújo and
Our future work include applying data mining techniques on an expanded data set with more distinctive attributes to get more accurate results References 1 Bin Zhang Meichu Hsu George Forman 2000 Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-up Demonstrated for Center- Based Data …
Kabakchieva D 2013 Predicting student performance by using data mining methods for classification Cybernetics and Information …
Evaluating Performance and Dropouts of Undergraduates Using Educational Data Mining Laci Mary Barbosa Manhães PESC COPPE Universidade Federal do Rio de Janeiro UFRJ Rio de Janeiro Brazil manhaes cos ufrj br Sérgio
This is to certify that the project report titled Prediction and Analysis of student performance by Data Mining in WEKA prepared under my supervision by Agnik Dey Roll No 11700214006 Abhirup Khasnabis Roll No 11700214002 Ajeet Kumar Roll No 11700214009 of B Tech
Therefore a systematical literature review on predicting student performance by using data mining techniques is proposed to improve students achievements The main objective of this paper is to provide an overview on the data
Evaluating Performance and Dropouts of Undergraduates Using Educational Data Mining Laci Mary Barbosa Manhães PESC COPPE Universidade Federal do Rio de Janeiro UFRJ Rio de Janeiro Brazil manhaes cos ufrj br Sérgio
Data mining is a process that attempts to discover new patterns in large data sets Data mining is used in higher education for analysis predicting and evaluating the performance of student teacher and other that have a role in the
Traditional data mining and machine learning techniques may not be applied directly to these types of data and problems In this study we develop a classification model to predict student performance using Deep Learning which
PREDICTING STUDENT PERFORMANCE USING DATA MINING TECHNIQUES Astha Soni 1 Vivek Kumar 2 Rajwant Kaur 3 D Hemavathi 4 Dept of Information Technology SRM Institute of Science Technology Kattankul a
2017 07 03· It investigates the impact of various machine learning techniques in combination with process mining features to measure effectiveness of these techniques Student s data e g assessment grades demographic information and
Data mining methods are used to study the performance of undergraduate students • Two aspects of students performance have been focused upon • Firstly predicting students academic achievement at the end of a four-year study
Abstract Predicting students performance becomes more challenging due to the large volume of data in educational databases Currently in Malaysia the lack of existing system to analyze and monitor the student progress and performance is not being addressed There are two main reasons of why this is happening First the study on …
A Review on Predicting Student s Performance using Data Mining Techniques Amirah Mohamed Shahiri a ∗ Wahidah Husain a Nur aini Abdul Rashid a School of Computer Sciences Universiti Sains Malayisa 11800 USM Penang Malaysia
2013 10 27· Analysis and Mining of Educational Data for Predicting the Performance of Students October 2013 Saurabh Pal Download full-text Read full-text Download full-text Read full-text Download citation
