The problem studied in this paper is analyzing Iranian household consumption
patterns by data mining study on official statistics which is focuses on microdata
for household income and expenditure survey (HIES). As the inflation rate
changes in Iran, household consumption patterns will change. The overall purpose
of this case study is to analyze the household consumption patterns in Iran.
The case study presented in this paper is intended to help decisionmakers to find
and understand all the significant relationships and correlations that exist between
the conditions that have led to these changes in Iranian household consumption.
The HIES aims to hand in estimates on the average income and expenditure for
urban and rural households at provincial and national levels. It represents distribution
patterns and helps us to calculate the poverty line and study the imparity
in household income and facilities. Data mining (DM) techniques and algorithms
are promising tools to provide new ways to mine the crucial, complex, and voluminous
official data to complement or substitute the traditional and lagged-behind
tools that National Statistical Offices (NSOs) have been using.