Open AccessPreference and performance analysis of community college students using Bayesian classification
Author(s) -
S. Balaji,
Senthil Kumar J,
S. K. Srivatsa
Publication year - 2013
Publication title -
journal of management and science
Language(s) - English
Resource type - Journals
eISSN - 2250-1819
pISSN - 2249-1260
DOI - 10.26524/jms.2013.48
Subject(s) - preference , disadvantaged , vocational education , process (computing) , mathematics education , community college , empowerment , higher education , field (mathematics) , psychology , computer science , medical education , pedagogy , political science , mathematics , statistics , medicine , law , operating system , pure mathematics
The Community College system in India aims at the empowerment of the disadvantaged persons through appropriate skills development leading to gainfulemployment..The process of predicting students preference towards the courses and analyzing performance is the biggest challenge for the community college institutions.In addition,community college education is booming in India.There is a need for analyzing the preference of students to provide courses of the need. Data Mining can be used in educational field to enhance our understanding of learning process to focus on identifying, extracting and evaluating variables related to the learning process of students.The investigation considered the bayes theorm based posteriori probabilities of dependent attributes.The objectives of the present investigation were framed so as to assist the enrollment process in vocational education of community colleges.