Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3487
Title: A hybrid approach for alarm verification using stream processing, machine learning and text analytics
Authors : Sima, Ana-Claudia
Stockinger, Kurt
Affolter, Katrin
Braschler, Martin
Monte, Peter
Kaiser, Lukas
Proceedings: Proceedings of the 21st International Conference on Extending Database Technology (EDBT)
Conference details: International Conference on Extending Database Technology (EDBT), March 26-29, 2018
Publisher / Ed. Institution : ACM
Issue Date: 2018
Language : Englisch / English
Subjects : Database technology; Stream processing; Machine learning; Text analytics
Subject (DDC) : 004: Informatik
Abstract: False alarms triggered by security sensors incur high costs for all parties involved. According to police reports, a large majority of alarms are false. Recent advances in machine learning can enable automatically classifying alarms. However, building a scalable alarm verification system is a challenge, since the system needs to: (1) process thousands of alarms in real-time, (2) classify false alarms with high accuracy and (3) perform historic data analysis to enable better insights into the results for human operators. This requires a mix of machine learning, stream and batch processing -- technologies which are typically optimized independently. We combine all three into a single, real-world application. This paper describes the implementation and evaluation of an alarm verification system we developed jointly with Sitasys, the market leader in alarm transmission in central Europe. Our system can process around 30K alarms per second with a verification accuracy of above 90%.
Departement: School of Engineering
Organisational Unit: Institut für Angewandte Informationstechnologie (InIT)
Publication type: Konferenz: Paper / Conference Paper
Type of review: Peer review (Publikation)
DOI : 10.21256/zhaw-3487
ISBN: 978-3-89318-078-3
URI: https://digitalcollection.zhaw.ch/handle/11475/2180
License (according to publishing contract) : CC BY-NC-ND 4.0: Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
Published as part of the ZHAW project : SAVE - Smart Alarms & Verified Events
Appears in Collections:Publikationen Soziale Arbeit

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