• No results found

[PDF] Top 20 Student Performance Evaluation Using Data Mining Techniques for Engineering Education

Has 10000 "Student Performance Evaluation Using Data Mining Techniques for Engineering Education" found on our website. Below are the top 20 most common "Student Performance Evaluation Using Data Mining Techniques for Engineering Education".

Student Performance Evaluation Using Data Mining Techniques for Engineering Education

Student Performance Evaluation Using Data Mining Techniques for Engineering Education

... not using the complicated matching operation of answer scripts, instead [10] a more generalized method using degree of satisfaction and extended fuzzy grade ...cricketer performance evaluation ... See full document

6

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 ... See full document

6

Title: Student Performance Analysis Using Data Mining Technique

Title: Student Performance Analysis Using Data Mining Technique

... Higher education has gained importance manifolds in the past few ...of data management and analysis due to large supply of data being present in several companies, including both private and ...the ... See full document

8

Analysis of Student Performance Using Data Mining Technique

Analysis of Student Performance Using Data Mining Technique

... of education but with the advantages of lower time and ...the student performance by using data mining technique like classification, decision tree algorithm using to ... See full document

5

Improving the Quality of Education in Higher Schools by Developing the Students Capabilities using Data Mining Techniques

Improving the Quality of Education in Higher Schools by Developing the Students Capabilities using Data Mining Techniques

... for education. It is far from the traditional trend of education which depends on the tremendous revolution of information ...and evaluation for learners but our proposed system aims to ensure that ... See full document

6

Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES

Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES

... Educational Data Mining (EDM) has resulted from a fusion of many different areas, some which include Machine Learning, Cognitive Science and Psychometrics? The main task in EDM is to construct computational ... See full document

6

A Novel Hybrid Approach Of Adaboostm2 Algorithm And Differential Evolution For Prediction Of Student Performance

A Novel Hybrid Approach Of Adaboostm2 Algorithm And Differential Evolution For Prediction Of Student Performance

... The student performance prediction is an important concern in e-learning ...The performance of student depends on different factors, for example, individual, social, natural and psychological ... See full document

6

The Survey – Predicting an Education Performance of Students Based on Data Mining Techniques

The Survey – Predicting an Education Performance of Students Based on Data Mining Techniques

... Educational data of students characteristics can be discussed by Moyosola Jude Akomolafe, in this research correlation analysis can be evaluated for investigate the relationship of personality characteristics to ... See full document

8

ANALYZING STUDENT’S PERFORMANCE USING EDUCATIONAL DATA MINING TECHNIQUES

ANALYZING STUDENT’S PERFORMANCE USING EDUCATIONAL DATA MINING TECHNIQUES

... Data mining in education : Educational data mining (EDM) is an area that uses statistical techniques, machine learning and data mining to analyze educational ... See full document

12

Educational Data Mining And Its Applications

Educational Data Mining And Its Applications

... different data mining techniques to predict student ...of data mining techniques a result evaluation system can be developed which can help teachers and students to ... See full document

6

ANALYSIS OF STUDENTS DROPOUT FORECASTING USING  DATA MINING

ANALYSIS OF STUDENTS DROPOUT FORECASTING USING DATA MINING

... which student needs which type of resource or, in other words, if we are able to predict the results of students, we can improve results and decrease drop out ...used Data Mining in education ... See full document

6

A Framework for Dynamic Faculty Support System to Analyze Student Course Data

A Framework for Dynamic Faculty Support System to Analyze Student Course Data

... student’s performance in a ...static data but our FSS can dynamically update itself whenever there is change in analysis ...result. Student data show considerable change in trends and so ... See full document

5

Predicting Student's Performance in Education using Data Mining Techniques

Predicting Student's Performance in Education using Data Mining Techniques

... student’s data from different universities in Pakistan (on the data set of 690 students during the period of 2004 to 2011), which included the most important parameters like family income, family assets, ... See full document

7

Mining Educational Data Using Data Mining Techniques and Algorithms –A Review

Mining Educational Data Using Data Mining Techniques and Algorithms –A Review

... of data mining in educational data mining which has greater impact to improve the students’ academic performance and ...academic performance plays a vital role in the success of ... See full document

5

Improving the Student’s Performance Using Educational Data Mining

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 ...higher education. In the higher education, ... See full document

6

Performance Analysis and Prediction in Educational Data Mining: A Research Travelogue

Performance Analysis and Prediction in Educational Data Mining: A Research Travelogue

... “Educational Data Mining: A Survey and a Data Mining-Based Analysis of Recent Works” presented the survey of published papers from 2010-2013 and divided Educational Data Mining ... See full document

9

Stock data prediction using predictive data mining techniques

Stock data prediction using predictive data mining techniques

... 57772 data entries and target at 22nd ...Before using any model with the dataset, we must ensure that our data is pre- processed; it means that dataset should be in ...noisy data in the ... See full document

7

Evaluation of Teacher’s Performance: A Data Mining Approach

Evaluation of Teacher’s Performance: A Data Mining Approach

... study data were collected from post graduate studies at department in the college of engineering over three years period of the same students for the purpose of investigating if there is any changes in ... See full document

11

International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... Larose (2005) states that association task finds which attributes “go together”. According to Gopalan and Sivaselvan (2009) association rule is “the process of discovering interesting association or relationship among ... See full document

10

Analytical Study of Performance of Students using Data Mining Techniques

Analytical Study of Performance of Students using Data Mining Techniques

... of student and tutor dialogue moves is illustrated in D‟Mello, Olney, and Person ...information mining methodology for identifying and examination learning behaviors from students learning interaction ... See full document

7

Show all 10000 documents...