Open Access Open Access  Restricted Access Subscription Access

Analyzing of Consumption Expenditures of Household by Clustering Techniques in Data Mining

Yasemin Koldere Akin

Abstract


In this study, the raw data of “household budget survey” conducted by Turkey Statistics Institution in 2004 was taken and households were classified according to their food consumption expenses with the help of aggregation techniques used in data mining and were put forward by taking some demographical features such as consumer behaviors forms, number of households, rural – urban, into account. The center dependant classifier, which is compliant to the limits of the study and the aggregations obtained by density based aggregation techniques were compared and the dominating and weak sides were examined.

Keywords


Household budget survey, data mining, clustering, CLARA, density based clustering

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.