Comparative Studies on Indian Population using Data Mining Tools

Saravanan, A. and Singh, Gurpreet and Suganthi, Su. and Perumal, P. and Kaur, Amanpreet (2021) Comparative Studies on Indian Population using Data Mining Tools. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

[img]
Preview
Text (PDF)
eai.7-6-2021.2308854.pdf - Published Version

Download (302kB) | Preview

Abstract

In the following ten years India will beat China as the most crowded country on the planet because of its high preparation and energetic individuals. Constantly 2025 every nation will have an expected 1.5 billion individuals. India contrasts regarding everybody of the ignorant conventional individuals with a wide assortment of youngsters as a rule and instructed metropolitan ladies with under 1.5 kids and the extraordinary variety between nations. We show that overall population insights are generally reliant on how these distinctions are consolidated into the disparities in the human hypothesis model utilized. The customary model of hypothesis, which just thinks about the age and sexual direction of society in general, benefits broadened individuals not exactly the equivalent standard utilized at the global level accepts that in time the high extent adds more weight, accordingly utilizing higher qualities for more individuals. Conflicting outcomes rise out of the speculations guessed to get ready for the distinction as far as the manner by which over the long haul the degree of ladies who are additionally empowered by low-level develops, subsequently advancing lower-than-anticipated turn of events. To take care of this issue totally, we built up a five-dimensional model of the Indian populace overall by country, country/metropolitan territory, age, sex, and level of control and showed the impacts of different degrees of grouping. Moreover

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: population instruction rate of birth relocation rate yearly change
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 11 Jun 2021 08:02
Last Modified: 11 Jun 2021 08:02
URI: https://eprints.eudl.eu/id/eprint/3866

Actions (login required)

View Item View Item