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Development of LINEBot for predicting bicycle theft using open data

Kenji Kawanobe
Software engineer at Japan System Laboratory Inc.
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FOSSASIA Summit 2020
March 21, 2020, Online, Online
FOSSASIA Summit 2020
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Development of LINEBot for predicting bicycle theft using open data
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Kenji Kawanobe
Software engineer at Japan System Laboratory Inc.

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In Japan, open data of crime damage information and disaster information is disclosed. Data processing and analysis can be facilitated by the development of Python.This time, LINEBot was developed in Python to estimate theft using open data of bicycle theft damage information released by Nagano Prefecture in Japan. In order to quantify how similar the “bicycle theft data” based on open data is to the “user data” of LINE users, I have calculated the “Maharanobis distance” and implemented an estimation function.   I will talk about pre-processing of open data, implementation of estimation function by Mahalanobis distance, and use of LINEMessagingAPI. (LINEBot is available with LINE ID: @ 377mjuys)My bot is open source, here is a link to the open source code.

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