Census Data Mining and Data Analysis using WEKA

TL;DR

This paper demonstrates how to use the Weka data mining tool to extract and analyze local census, socio-economic, and population data for knowledge discovery and planning.

Contribution

It showcases the application of Weka for mining district-level census and socio-economic data, illustrating its utility in local data analysis.

Findings

Effective extraction of local census data using Weka

Insights gained from socio-economic data analysis

Potential for improved local planning and development

Abstract

Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and potentially useful information from databases. The outcome of the extracted data can be analyzed for the future planning and development perspectives. In this paper, we have made an attempt to demonstrate how one can extract the local (district) level census, socio-economic and population related other data for knowledge discovery and their analysis using the powerful data mining tool Weka.