[PDF] Top 20 PREDICTING STUDENT PERFORMANCE USING RESULT MINING AND KNOWLEDGE FLOW IN WEKA
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PREDICTING STUDENT PERFORMANCE USING RESULT MINING AND KNOWLEDGE FLOW IN WEKA
... Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data ...Data ... See full document
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Predicting and Analysis of Student Performance Using Decision Tree Technique
... data mining methods and techniques students’ data to construct a predictive model for students’ academic ...data mining is the process of finding correlations or patterns among dozens of fields in large ... See full document
10
An Educational Data Mining Model for Predicting Student Performance in Programming Course
... data mining in educational systems Each of these systems has different data source and objectives for knowledge ...data mining techniques can be applied: statistics and visualization; clustering, ... See full document
7
Student Result Analysis System and Predicting Difficulty Level of Subject
... for predicting students grade particularly for engineering ...in WEKA tool ...the performance of students in an academic ...of student performance on the basis of academic ... See full document
5
A Framework for Dynamic Faculty Support System to Analyze Student Course Data
... of student data set to analyze the effect of Class Association Rule mining algorithm (CAR) and various Decision Tree ...the performance of students in a ...in predicting the results as ‘pass’ ... See full document
5
A Survey on Mentality about the Student Curriculum Using Weka Tool in Data Mining Technique
... a result of this study, It is who Under stood that which category of Student Affect in ...the result from (Hierarchical or Non – Hierarchical). A performance was Assign the group for a ... See full document
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... of predicting student performance has become a crucial factor in academic environment and plays significant role in producing quality ...analyzing, predicting and classifying student ... See full document
5
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... Data Mining is an effective tool to extract meaningful and interesting patterns from the current and historical data stored in data warehouses or data repositories which may be analyzed to predict future ...data ... See full document
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Predicting Student’s Performance using Data Mining Techniques
... the Student SGPA Prediction System(SSPS) which uses rules extracted from the best algorithm among J48, LMT, Random Tree and REP Tree algorithms to predict SGPA of students in first six ...building student ... See full document
6
Data Mining in Teacher Evaluation System using WEKA
... Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, ... See full document
5
Predicting Student's Performance in Education using Data Mining Techniques
... Data mining is a collection of techniques based on advanced analytical methods for efficient automated discovery of previously unknown, valid, novel, useful and understandable patterns in large ...Data ... See full document
7
ID3 Classifier for Pupils' Status Prediction
... of Knowledge Discovery Process often called Data Mining, so that it can be used to provide a proven solution to the problem ...Data mining is being used in many areas like banking, insurance, ... See full document
5
Educational Mining: A Comparative Study of Classification Algorithms Using WEKA
... Data mining is used to analyse large volumes of ...data mining which will be used to predict the target attribute accurately from the knowledge it gained from the training ...data. Predicting ... See full document
7
Comparative Analysis of Various Tools for Data Mining and Big Data Mining
... Cognos: IBM Cognos is a set of smart self- servicecapabilities that enable them to quickly andconfidently determine and make decisions on insight. The engaging experience provided by Cognos Analytics encourages business ... See full document
5
ASSOCIATION RULE MINING WITH APRIORI AND FPGROWTH USING WEKA
... Rules Mining for effective means of distinguishing groups or classes of object but it becomes costly so clustering can be used as preprocessing approach for attribute subset selection and ... See full document
9
Comprehensive Analysis of Data Mining Classifiers using WEKA
... data mining technique which is based on machine ...data mining function that assigns items in a collection to target categories or ...data mining classification are:- ... See full document
6
Analysis and Comparison of Models for Classification of Diabetic Disease
... data mining techniques to identify the diabetic ...the performance of different classification ...the performance of models in terms of Kappa statistics, Area under ROC curve, RMSE, precision, ... See full document
6
Analysis of Student Performance Using Data Mining Technique
... educational mining focuses on modeling student’s performance instead of instructors’ ...instructors’ performance is the course evaluation questionnaire to evaluate based on students’ ...questionnaire ... See full document
5
A Data Mining Process In An Indigenous Knowledge Ethno Medicinal Database
... The result of this survey was the development of a database containing knowledge captured on the plants and their medicinal uses together with relevant ...data mining technical approach to identify ... See full document
9
Data Preparation Strategy in E Learning System using Association Rule Algorithm
... The result we obtained using Apriori Association Rule which is existing algorithm in open source data mining tool Weka before preprocessing is shown in table ...the result, we prepared ... See full document
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