Publications

This page shows all publications that appeared in the IASI annual research reports. Authors currently affiliated with the Institute are always listed with the full name.

You can browse through them using either the links of the following line or those associated with author names.

Show all publications of the year  2020, with author ALL, in the category IASI Research Reports (or show them all):


IASI Research Report n. 20-04  (Previous )  

Sagarese V., Bragagnini A., Giovanni Felici, Claudio Gentile, Giuseppe Stecca

IDENTIFYING PEAK EVENTS FROM MOBILE PHONE PRESENCE DATA

ABSTRACT
This paper describes a novel procedure for identifying peak events, starting from the data of presence from mobile phones. The aim is to support the identi?cation of aggregation of peoples with respect to time-series of presences in a given territory. Speci?cally, the data used in the work consist of a database containing the values of presence of mobile cell phone users with a time interval of 15 minutes. The approach used for the peak identi?cation is based on statistical and machine learning (ML) methods. The study describes the procedure used to recognize a combination of percentiles suitable for the recognition of peak events linked to scenarios related to large events of collective interest. Furthermore, to validate this procedure, supervised learning methods are adopted, namely Logistic Regression (LR) and Support Vector Machines (SVM). Test results con?rmed that both methods can recognize peak events with remarkable precision when obtained with the optimal percentile combination method.
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