The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Data Mining Approach to Advance Knowledge in Public Government: Profiling Households
Abstract
Data mining is the process of ‘mining’ into large quantity of data to get useful information. It comprises a broad set of techniques originated within different applicative fields to solve various types of issues. In this chapter the data mining approach is proposed for the characterization of family consumptions in Italy. Italian expenditures are a complex system. Every year the Italian National Bureau of Statistics (ISTAT) carries out a survey on the expenditure behaviour of Italian families. The survey regards household expenditures on durable and daily goods and on various services. Here the goal is twofold: firstly it describes the most important characteristics of family behaviour with respect to expenditures on goods and usage of different services; secondly possible relationships among these behaviours are highlighted and explained by social-demographical features of families. To this purpose, a series of statistical techniques are used in sequence and different potentialities of selected methods for addressing these kinds of issues are pinpointed. This study recommends that, further investigation is needed to properly focalize on service usage for the characterization, for example, of the nature of investigated services (private or public) and, most of all, about their supply and effectiveness across the national territory. Still this study may be considered an example of operational and concrete approach of managing of large data-sets in the social-economical science, from the definition of goals to the evaluation of results.
Related Content
|
.
© 2023.
34 pages.
|
|
.
© 2023.
15 pages.
|
|
.
© 2023.
15 pages.
|
|
.
© 2023.
18 pages.
|
|
.
© 2023.
24 pages.
|
|
.
© 2023.
32 pages.
|
|
.
© 2023.
21 pages.
|
|
|