[PDF] Top 20 DATA MINING CLASSIFICATION TECHNIQUES ON THE ANALYSIS OF STUDENT’S PERFORMANCE.
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DATA MINING CLASSIFICATION TECHNIQUES ON THE ANALYSIS OF STUDENT’S PERFORMANCE.
... of data mining classification are: Credit or Loan Approval- if a client is the safe or risky; Spam detection- If a message is valid or suspicious; what treatment applies to a patient- If Treatment A ... See full document
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Performance Analysis of Data Mining Classification Techniques on Public Health Care Data
... 84.4% data correctly while logistic regression classifies 83.63% data correctly but LR takes 54 seconds and ANN takes 11 seconds to ...more data and higher dimensional feature space, using ANN will ... See full document
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Performance Analysis for Visual Data Mining Classification Techniques of Decision Tree, Ensemble and SOM
... the classification of the customers into different classes is shown in Table ...6. Data collection is done directly from sales counters for SOM ...6 data sets, each consisting of 240 to 370 ... See full document
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Performance Analysis of Data Mining Classification Techniques
... 3. K-nearest neighbors: It is an instance-based classifier. It operates on the premises that classification of unknown instances can be done by relating the unknown to the known according to some distance or ... See full document
7
Performance Analysis of Various Data Mining Classification Techniques using Neural Networks
... of data classification is maybe one of the most generally studied in data mining as well as machine learning ...of data classification includes a wide variety of different ... See full document
7
A Framework for Dynamic Faculty Support System to Analyze Student Course Data
... student’s performance in a course. Our framework uses open source analysis softwares and offers a simple easy to use client interface that can be used by any faculty for their ...Most analysis system ... See full document
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Improving the Student’s Performance Using Educational Data Mining
... educational data mining is to improve the student ...of data mining techniques which achieves the goal in an efficient ...the analysis on enrolment of student’s ... 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’ ...different ... See full document
5
Prototype analysis of different data mining Classification and Clustering approaches
... in data sources, which is formally increased based on Knowledge Discovery from different data ware ...useful data from data sources, some of the techniques, methods and some of ... See full document
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International Journal of Computer Science and Mobile Computing
... Regression analysis can be applied in data mining to predict students’ GPA, expectations with regard to specialisation selection, complaints and satisfaction levels based on demographic, geographic, ... See full document
10
A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... the data mining and machine learning, research communities, because it is the only toolkit that has gained such widespread adoption and survived for an extended period of time ...the data ... See full document
6
Student Performance Evaluation Using Data Mining Techniques for Engineering Education
... predict performance in crisp ...when data available is vague and imprecise and classify the students’ performance into different categories ...[19,20]. Student performance evaluation ... See full document
6
Mining Educational Data Using Data Mining Techniques and Algorithms –A Review
... of data which are kept in the database. Data mining is the analysis of data and the use of software techniques for finding hidden patterns and ...large data set has many ... See full document
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The utilization of data analysis techniques in predicting student performance in massive open online courses (MOOCs)
... Many studies have been undertaken that have explored the use of such variables to determine engagement and performance. For instance, Balakrishnan and Coetzee (2013) used measures including (1) total time spent ... See full document
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Title: Student Performance Analysis Using Data Mining Technique
... experiment analysis we have applied various classification algorithms into the WEKA tool like J48, Bayes Net, Decision stump, Logistic Regression, Multi layer perception, Naïve Bayes, One R, Rep Tree, and ... See full document
8
Survey of Classification Techniques in Data Mining
... For more accurate results, several algorithms use weighting schemes that alter the distance measurements and voting influence of each instance. A survey of weighting schemes is given by (Wettschereck et al., 1997). The ... See full document
5
Survey Of Classification Techniques In Data Mining
... various classification techniques used in data mining and a study on each of ...them. Data mining is a wide area that integrates techniques from various fields including ... See full document
11
Researchon Classification Techniques in Data Mining
... Data Mining is the process of analyzing data from different perspective and gaining the knowledge from large amount of large ...data[1]. Data mining is growing in various ... See full document
5
COBIT BENCHMARKING OF SYSTEM DEVELOPMENT GOVERNANCE FOR A GOVERNMENT AGENCY IN MALAYSIA
... applying data mining techniques to analyze teaching effectiveness using a data set of teachers’ ...the performance of nine data mining techniques is investigated ... See full document
10
A Comparative Study of Classification Techniques in Data Mining Algorithms
... learning classification, regression or ranking ...based classification is not directly depend on the dimension of classified ...accurate classification technique, there are several problems. The ... See full document
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