Intelligent Context Driven Data Mining To Analyse Student Performance in Higher Educational Institutions (HEIs), SS Bhaskaran, International Journal of Recent Technology and Engineering (IJRTE)’ 8 (2019).
Contextual Data Mining for Higher Educational Institution, SS Bhaskaran, International Journal of Engineering and Advanced Technology (IJEAT) 8 (5) 2019.
Facilitate decision making in higher educational institutions by linking course-taking pattern and student performance characterised by contextual knowledge, SS Bhaskaran, International Journal of Society Systems Science 10 (3), 182-200, 2018.
Student performance and time-to-degree analysis by the study of course-taking patterns using J48 decision tree algorithm, SS Bhaskaran, K Lu, MA Aali, International Journal of Modelling in Operations Management 6 (3), 194213, 2017.
Conferences
Data Mining Model for Better Admissions in Higher Educational Institutions (HEIs)—A Case Study of Bahrain: SS Bhaskaran, M Al Aali, International Conference on Advanced Machine Learning Technologies and Applications, 2020.
An Investigation into the Knowledge Discovery and Data Mining (KDDM) process to generate course taking pattern characterised by contextual factors of students in Higher Educational Institutions, SS Bhaskaran, Brunel University London, 2017.
Context driven data mining to classify students of higher educational institutions, SB Sailesh, KJ Lu, M Al Aali, International Conference on Inventive Computation Technologies (ICICT) 2016.
Profiling students on their course-taking patterns in higher educational institutions (HEIs), SB Sailesh, KJ Lu, M Al Aali, International Conference on Information Science (ICIS), 160-167, 2016.
Context driven data mining to classify students of higher educational institutions, KJ Lu, SB Sailesh, IEEE, 2016.
