Data Mining in Higher Education Sector
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 2
Abstract
Data mining is the process of extracting hidden and useful information from a huge amount of data. It analyzes the data from different sources and convert them into significant information. Today, there is a big challenge for the institutions for predicting the career path related to higher education of the students. So, it would be a big task for the institutions to find the students who will be suitable for a particular course according to their expertise & area of interests and to find the students who will need more guidance and counselling in a specific area. Management of institution also need to have more information related to the results of the students, their success rate in the new courses offered etc. Here, the problem faced by students and higher education institutions for higher education will be discussed. So, ‘Data Mining’ is to solve all these types of problems. It is a better tools to analyze & predict result of the students and helps to institutions in the decision making more smartly and accurately. In this paper, there is a small try to make use of one of the data mining techniques-J48 algorithm to predict the result of the students along with Data Mining tool ‘Weka’ which will be used for the classification of the data.
Authors and Affiliations
Peeyush Vyas
Keywords
Related Articles
- EP ID EP23148
- DOI http://doi.org/10.22214/ijraset.2017.2059
- Views 239
- Downloads 5
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