International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 118 - Number 16 |
Year of Publication: 2015 |
Authors: Ashok.m.v, Apoorva A, G Suganthi |
10.5120/20828-3477 |
Ashok.m.v, Apoorva A, G Suganthi . Impact of Advertisements on Educational Institutions Admission using Classifier. International Journal of Computer Applications. 118, 16 ( May 2015), 12-16. DOI=10.5120/20828-3477
Advertisements play a very important role in making educational institutions reach students belonging to rural and urban areas. The purpose of this paper is to find the impact of various types of advertisements on the area wise admission of students to Institutions, both in rural and urban areas of Bangalore. The objective is also to study, among the types, which has sustained or temporary influence. The type of advertisements used are television, handbills, social media, text messaging. The mining technique used is neural network which is considered to be a very good classifier. It is found that television and handbill have sustained impact; text messaging has temporary impact and social media and websites have no impact, in rural area. Television, Social media, and website have sustained, text messaging has temporary, and handbills have no impact in urban areas. Hence this study will help the institutions in adopting a novel strategy where in a particular or amalgamation of advertising can be chosen to effectively increase the popularity of institutions and hence admissions.