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Being Smart with Data: Automatic Classification of Users of a Free Municipal Wi-Fi Network (MWN) Using a Two-Tiered Classification Tree

Published:18 June 2019Publication History

ABSTRACT

This study explores whether it is possible to automatically assign a user of a Municipal Wireless Network (MWN) to one of the previously identified user groups, using only the very small amount of data available at the moment of connection. To do so, researchers classified the users of the “WiFi Lugano” MWN into business travelers, leisure tourists, and locals in two different ways: 1) based on the users’ network usage, and 2) based on the users’ declared reason for being in Lugano. The two groupings allowed creating a two-tiered classification tree with cross validation resulting in a set of classification rules that would subsequently enable the system to assign future users to one of the three groups by using only a few variables known at the moment of connection. The identified rules make it possible to significantly increase the probability of a correct assignment over that of a random assignment. The study thus provides a general framework for automatically classifying users of a MWN with very limited available data, which can be applied also to other MWNs. Being able to distinguish users of a MWN at the moment of connection could allow the city to communicate in a more targeted way with each user group, for example through the use of tailored landing pages and thus to improve its relationship with citizens (G2C), businesses (G2B), and visitors (G2V).

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  • Published in

    cover image ACM Other conferences
    dg.o 2019: Proceedings of the 20th Annual International Conference on Digital Government Research
    June 2019
    533 pages
    ISBN:9781450372046
    DOI:10.1145/3325112

    Copyright © 2019 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 June 2019

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    Overall Acceptance Rate150of271submissions,55%

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