Jagan Institute of Management Studies organized Tuesday Talk on 21st May,’2019 at its Rohini campus
Dr. Deepshikha Aggarwal presented a research paper titled” Application of clustering for student Analysis”. She explained that the analysis of academic performance of students is an important concern for the universities and colleges of higher learning as it is very important for planning and managing of the teaching pedagogy of a particular course there is to examine and assess the results of students in order to understand how effective the existing education system is. In this study, she has analysed students’ performance using clustering technique and some other statistical tools and methods. This paper studies the actual result of university examination for the students of MCA (Masters in Computer Application), a 3 year post graduate course in information technology. In order to analyse the data k-means clustering algorithm was applied. The elbow method was used to choose appropriate number of clusters. Analysis has been conducted gender wise to understand whether there is a pattern based on the gender of students. Academic planners can make operational decisions and future planning on the basis of results attained in this research.
Ms. Disha Grover presented a paper titled “Comparative Study of Ontology Based Search Engines and Traditional Search Engines.” She informed that Information Retrieval has become the buzzword in the today’s era of advanced computing. The tremendous amount of information is available over the internet in the form of documents which can either be structured or unstructured. It is really difficult to retrieve relevant information from such large pool. The traditional search engines based on keyword search are unable to give the desired relevant results as they search the web on the basis of the keywords present in the query fired. On contrary the ontology based semantic search engines provide relevant and quick results to the user as the information stored in the semantic web is more meaningful. The paper gives the comparative study of the ontology based search engines with those which are keyword based. Few search engines of both types have been taken and same queries are run on each one of them to analyse the results to compare the precision of the results provided by them by classifying the results as relevant or non-relevant.