A Performance Evaluation Study on a Data Analytics Platform for Emergency Calls

Data analytics has become an invaluable tool for businesses in many areas and various solutions are emerging to meet their needs. In Telecommunication Systems, it is a critical and increasingly important function in terms of monitoring, measuring and reporting the system. One of the most critical services of telecommunication systems is emergency calls. In this paper, we will show the results of the performance studies of a big data analytics platform developed by us which focuses on emergency calls.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/ubmk63289.2024.10773452
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
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article

A Performance Evaluation Study on a Data Analytics Platform for Emergency Calls

Hakan Kılınç, Engin Yakar
Context-Aware Activity Recognition Systems
article

A Performance Evaluation Study on a Data Analytics Platform for Emergency Calls

Hakan Kılınç, Engin Yakar
article en

Abstract

Data analytics has become an invaluable tool for businesses in many areas and various solutions are emerging to meet their needs. In Telecommunication Systems, it is a critical and increasingly important function in terms of monitoring, measuring and reporting the system. One of the most critical services of telecommunication systems is emergency calls. In this paper, we will show the results of the performance studies of a big data analytics platform developed by us which focuses on emergency calls.

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Context-Aware Activity Recognition Systems
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