most citedData Mining: A Prediction for Performance Improvement of Engineering Students using Classification

148 citations · 356 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY20121 cited

Data Mining Application to Attract Students in HEI

Umesh Kumar Pandey, Surjeet Kumar Yadav, Saurabh Pal

In the last two decades, number of Higher Education Institutions (HEI) grows in leaps and bounds. This causes a cut throat competition among these institutions while attracting the…

cs.IR201226 cited

Mining Educational Data Using Classification to Decrease Dropout Rate of Students

Saurabh Pal

In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. Since most of the institutions are opened in private mode therefore, a cut throat com…

cs.LG2012148 cited

Data Mining: A Prediction for Performance Improvement of Engineering Students using Classification

Surjeet Kumar Yadav, Saurabh Pal

Now-a-days the amount of data stored in educational database increasing rapidly. These databases contain hidden information for improvement of students' performance. Educational da…

cs.LG201238 cited

Mining Education Data to Predict Student's Retention: A comparative Study

Surjeet Kumar Yadav, Brijesh Bharadwaj, Saurabh Pal

The main objective of higher education is to provide quality education to students. One way to achieve highest level of quality in higher education system is by discovering knowled…

cs.IR2012143 cited

Data Mining Applications: A comparative Study for Predicting Student's performance

Surjeet Kumar Yadav, Brijesh Bharadwaj, Saurabh Pal

Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon methodologies for extracting useful knowledge from data and there are several useful KDD tools t…