Applied Data Science: Using Machine Learning for Alarm Verification

نویسندگان

  • Jan Stampfli
  • Kurt Stockinger
چکیده

In this project we are working with a security company that is a mayor player in secure alarm transmission. Alarms can be triggered by devices installed at banks, jewelry stores, private homes, etc. As already stated initially, around 90% of alarms are so-called false alarms and are due to technical reasons or unwanted human error. The challenge of our project is to significantly reduce the amount of false alarms.

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عنوان ژورنال:
  • ERCIM News

دوره 2016  شماره 

صفحات  -

تاریخ انتشار 2016