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AN EFFICIENT HETEROGENEOUS FEATURE EXTRACTION,DATA CLUSTERING AND ENSEMBLE LEARNING FRAMEWORK ON LARGE STREAMING STUDENT DROPOUT DATABASES
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Author(s):
ANIL KUMAR TIWARI,SANJAY KUMAR
Vol - 11, Issue- 11 ,
Page(s) : 137 - 154
(2020 )
DOI : https://doi.org/10.32804/IRJMST
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Abstract
Massive open online courses (MOOCs) have provided high-quality education to students all over the world, but their effectiveness as a teaching tool has been negatively impacted by the high dropout rate. Most of the conventional models are difficult to find the essential key features and group wise classes due to large data size and computational memory
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