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[PDF] Top 20 Comparative Analysis of Classification Algorithms for Student Performance

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Comparative Analysis of Classification Algorithms for Student Performance

Comparative Analysis of Classification Algorithms for Student Performance

... the algorithms and gathering their results, and with the results we concluded that the k-nearest neighbor had the best results as compared to Naïve Bayes and ... See full document

5

Comparative Analysis of Classification Algorithms Using Weka

Comparative Analysis of Classification Algorithms Using Weka

... of classification algorithms accuracies are calculated which are widely used to draw the significant amount of data from the huge amount of raw ...data. Comparative analysis of different ... See full document

12

A Comparative Analysis of Meta and Tree Classification Algorithms Using Weka

A Comparative Analysis of Meta and Tree Classification Algorithms Using Weka

... Meta classification indicates the usage of combination of multiple ...Various classification methods are proposed for the combination of classifiers ... See full document

7

Algorithm Tuning from Comparative Analysis of Classification Algorithms

Algorithm Tuning from Comparative Analysis of Classification Algorithms

... Learning classification requires thorough fine tuning of the parameters and at the same time sizeable number of instances for the ...the performance of algorithms by using ensemble ... See full document

5

A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool

A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool

... DTI is a tree learning algorithms. It consists of flow diagram like structure wherever the inner node denotes a take a look at on the attribute, the branches will denote the outcome of the test performed on the ... See full document

5

Comparative Analysis of Classification Algorithms on Different Datasets using WEKA

Comparative Analysis of Classification Algorithms on Different Datasets using WEKA

... pattern classification error) with respect to a large set of input quantities (such as the parameters or weights in a classification rule) ...the classification accuracy we should reduce the training ... See full document

5

Prediction of Work Integrated Learning Placement Using Data Mining Algorithms

Prediction of Work Integrated Learning Placement Using Data Mining Algorithms

... The classification algorithms are applied on educational data set for predicting work integrated learning placement based on student ...REPTREE algorithms are applied to student data ... See full document

5

Predicting Student’s Performance using Data Mining Techniques

Predicting Student’s Performance using Data Mining Techniques

... the student performance evaluation which is very important for performance enhancement which plays vital role in socioeconomic of the ...about student performance evaluation prediction ... See full document

6

A Conceptual Framework to Predict Academic Performance of Students using Classification Algorithm

A Conceptual Framework to Predict Academic Performance of Students using Classification Algorithm

... the student to understand and better their performance but also helps the institution in assessing the quality of education ...the student attrition ...academic performance can highly ... See full document

7

A Comparative Study of Classification Techniques in Data Mining Algorithms

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 data ... See full document

7

On designing a computational experiment 
		system for various engineering interpretations of a global optimization 
		problem

On designing a computational experiment system for various engineering interpretations of a global optimization problem

... the classification of global search algorithms by a methodological criterion, which enables a systematic comparative analysis of specific implementations of each method within the scope of ... See full document

7

Appraisal of the Classification Technique in Data Mining of Student Performance using J48 Decision Tree, K Nearest Neighbor and Multilayer Perceptron Algorithms

Appraisal of the Classification Technique in Data Mining of Student Performance using J48 Decision Tree, K Nearest Neighbor and Multilayer Perceptron Algorithms

... the classification techniques of data mining to mine data of Computer Science students of Kwame Nkurmah University of Science and Technology, Kumasi, Ghana to ascertain if there is any pattern between the entry ... See full document

8

Comparative Analysis of Algorithms Using Different Parameters for Securing Data in Cloud Computing

Comparative Analysis of Algorithms Using Different Parameters for Securing Data in Cloud Computing

... Feistel network based algorithm and it can grasp up to 128 bit of block size and then its key size is of 128, 192 and 256 bits. Depends upon the key the number of rounds is calculated it is listed as 10, 12 or 14. It ... See full document

5

Comparative Study of Classification Algorithms for Sentiment Analysis on Twitter Data

Comparative Study of Classification Algorithms for Sentiment Analysis on Twitter Data

... sentiment analysis that can be described as a process in which we predict qualitative response, or in this case we classify the document into its ...possible classification techniques, or classifiers that ... See full document

5

Improving the Student’s Performance Using Educational Data Mining

Improving the Student’s Performance Using Educational Data Mining

... the student database for improving the student ...data classification and decision tree methods are used to evaluate the student ...The analysis of performance can be done in ... See full document

6

Performance Analysis of Classification Algorithms for Prediction of Student Failure in College using Academic Data Processing

Performance Analysis of Classification Algorithms for Prediction of Student Failure in College using Academic Data Processing

... Abstract— Student data sets give useful information about efficient educational ...knowledge. Student failure affects education ...predict student failure in college at MIT College of engineering ... See full document

5

A Comparative Performance Analysis of
          Classification Algorithms Using Weka Tool Of Data
          Mining Techniques

A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques

... B. Mean Absolute Error: The measure of the Mean Absolute Error of the education dataset for Decision trees classifier techniques is shown below with graph according to the Table No.8.1 The Table No8.1 and Figure No8.2 ... See full document

6

A Comparative Study and Analysis on the Performance of the Algorithms

A Comparative Study and Analysis on the Performance of the Algorithms

... Theoretical analysis of algorithms generally includes estimation of their complexity in the asymptotic notation[1],which deals with the large ...different algorithms which are intended to perform the ... See full document

5

Title: A Study on Asymmetric Key Cryptography Algorithms
Authors: ASAITHAMBI.N
Country: India
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Title: EDM APPLICATIONS AND REPORT ANALYSIS - CASE STUDY
Authors: M.Saranyakala
Country: India
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Title: Incremental Information Extraction Usin

Title: A Study on Asymmetric Key Cryptography Algorithms Authors: ASAITHAMBI.N Country: India View_pdf Title: EDM APPLICATIONS AND REPORT ANALYSIS - CASE STUDY Authors: M.Saranyakala Country: India View_pdf Title: Incremental Information Extraction Using Relational Database System & PTQL Authors: Prof. Dhande Mahesh, Ashwini Zankar, Sheetal Paithankar, Kanchan Naik, Shweta Mahale Country: India View_pdf

... various algorithms to predicting student performance based on prediction, classification and cluster with their supporting tools, available EDM methods for different EDM ... See full document

8

Comparative Study of Image Classification Algorithms for Eyes Diseases Diagnostic

Comparative Study of Image Classification Algorithms for Eyes Diseases Diagnostic

... Abstract:- Deep learning is the most technology in 21century, it gives more information about how computers can understand data and learning from. In deep learning, networks of artificial neurons analyse large dataset to ... See full document

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