The collection and analysis of public data

Abstract

Public data can be considered large and important sources of data that can be used for different purposes. In this paper we present a method for collecting and analyzing data within urban settlements. For more focused analysis and gathering of large amount of data we considered a case study of Bucharest. The main purpose of this analysis is to pick up important information about different streets, points of interests, details about urban planning, etc., with the goal of facilitating a quick and correct evaluation of specific areas and identifying suitable location for adding new points of interest. The prediction of suitable location involves using heuristics and data mining technics such as clustering algorithms, association rules.