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Traffic Data: Exploratory Data Analysis with Apache Accumulo

Conference Paper
Publication Date:
2018
abstract:
The amount of traffic data collected by automatic number plate reading systems constantly incrseases. It is therefore important, for law enforcement agencies, to find convenient techniques and tools to analyze such data. In this paper we propose a scalable and fully automated procedure leveraging the Apache Accumulo technology that allows an effective importing and processing of traffic data. We discuss preliminary results obtained by using our application for the analysis of a dataset containing real traffic data provided by the Italian National Police. We believe the results described here can pave the way to further interesting research on the matter.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Apache Accumulo; Exploratory Data Analysis; Traffic Data
List of contributors:
Mastrostefano, Enrico; Bernaschi, Massimo; Lombardi, Flavio; Guarino, Stefano; Celestini, Alessandro
Authors of the University:
BERNASCHI MASSIMO
CELESTINI ALESSANDRO
GUARINO STEFANO
LOMBARDI FLAVIO
MASTROSTEFANO ENRICO
Handle:
https://iris.cnr.it/handle/20.500.14243/393368
Published in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Series
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URL

https://link.springer.com/chapter/10.1007/978-3-319-75608-0_10
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