Prediction of Household Income and Expenditure Using Data Mining

Prediction of Household Income and Expenditure Using Data Mining

Authors

  • nimmy ktu
  • Ashmy Thomas

DOI:

https://doi.org/10.5281/zenodo.6180649

Keywords:

income, expenditure, total earning people, WEKA tool

Abstract

ful for extracting and coming across styles in big
information set. Its miles very usually carried out to any shape
of large facts set or processing of information which
incorporates collection, extraction and analysis in addition to
any utility of pc decision guide device. The statistics mining
discover the more than one agencies the information, which
could then be used to reap greater prediction consequences by
means of way of a selection help machine. Records mining can
be implemented to expect the household profits and charges so
that you can be beneficial in dealing with the expenses in the
future. This paper shows special class algorithms of facts mining
used to expand a information mining version for predictions of
charges and income taking instructional qualification and
variety of people incomes within the family because the base.

Published

2023-02-23

How to Cite

nimmy, & Ashmy Thomas. (2023). Prediction of Household Income and Expenditure Using Data Mining. National Conference on Emerging Computer Applications, 4(1). https://doi.org/10.5281/zenodo.6180649
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