INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2020): 4.805 | Impact Factor(2021): 5.246

ABSTRACT


INFORMATION MINING: EMPLOYABILITY OF ID3 & C4.5 ALGORITHMS IN ENHANCING CLASSIFICATION CRITERIAS

Karan Sablok

Vol. 4, Jan-Dec 2018

Page Number: 119-135

Abstract:

An instructive foundation needs an inexact earlier learning of selected understudies to foresee their execution in future scholastics. This encourages them to distinguish promising understudies and furthermore gives them a chance to focus on and enhance the individuals who might most likely get bring down evaluations. As an answer, we have built up a framework which can anticipate the execution of understudies from their past exhibitions utilizing ideas of information mining systems under Classification. We have dissected the informational index containing data about understudies, for example, sexual orientation, marks scored in the board examinations of classes X and XII, stamps and rank in placement tests and results in first year of the past group of understudies. By applying the ID3 (Iterative Dichotomiser 3) and C4.5 grouping calculations on this information, we have anticipated the general and individual execution of newly conceded understudies in future examinations

Back Download