How Information Systems Can Help in Alarm/Alert Detection
Par :Formats :
- Nombre de pages262
- PrésentationRelié
- FormatGrand Format
- Poids0.467 kg
- Dimensions15,2 cm × 22,9 cm × 2,2 cm
- ISBN978-1-78548-302-8
- EAN9781785483028
- Date de parution08/11/2018
- ÉditeurCoédition ISTE Press/Elsevier
Résumé
Confronting the questions related to the paradigm shift between a normal operational mode and that of crisis management requires thinking about how this change takes place : through a mechanism for feedback or warning, a decision, or a change in type of governance. The monitoring of information required by this shift, whether in an information system, in its interfaces or in the decision-making process, imposes new constraints or, on the contrary, calls for certain relaxations.
Recent research has highlighted the pitfalls of alarm/alert detection using such systems : false alarms, the dissemination of false information (fakes, spam), and distorted alerts which arrive too late or never arrive at all, failing to pass the filter of access policies. At the same time, genuine alerts are not always heard in a crowded social media sphere : they are identified, but sometimes too late.
Exploring the strengths and limitations of the role of information systems in alarm/alert detection, this book provides a selection of viewpoints on the primary issues of the field, drawing on both case studies and theoretical work. It includes chapters dedicated to alarm prediction from Big Data, alerts in the context of smart cities and "mobiquitous" smartphone computing, and the potential of information systems for alerts related to ecology (extinction of species), pharmacology or meteorology (floods, natural hazards, etc.).
Recent research has highlighted the pitfalls of alarm/alert detection using such systems : false alarms, the dissemination of false information (fakes, spam), and distorted alerts which arrive too late or never arrive at all, failing to pass the filter of access policies. At the same time, genuine alerts are not always heard in a crowded social media sphere : they are identified, but sometimes too late.
Exploring the strengths and limitations of the role of information systems in alarm/alert detection, this book provides a selection of viewpoints on the primary issues of the field, drawing on both case studies and theoretical work. It includes chapters dedicated to alarm prediction from Big Data, alerts in the context of smart cities and "mobiquitous" smartphone computing, and the potential of information systems for alerts related to ecology (extinction of species), pharmacology or meteorology (floods, natural hazards, etc.).
Confronting the questions related to the paradigm shift between a normal operational mode and that of crisis management requires thinking about how this change takes place : through a mechanism for feedback or warning, a decision, or a change in type of governance. The monitoring of information required by this shift, whether in an information system, in its interfaces or in the decision-making process, imposes new constraints or, on the contrary, calls for certain relaxations.
Recent research has highlighted the pitfalls of alarm/alert detection using such systems : false alarms, the dissemination of false information (fakes, spam), and distorted alerts which arrive too late or never arrive at all, failing to pass the filter of access policies. At the same time, genuine alerts are not always heard in a crowded social media sphere : they are identified, but sometimes too late.
Exploring the strengths and limitations of the role of information systems in alarm/alert detection, this book provides a selection of viewpoints on the primary issues of the field, drawing on both case studies and theoretical work. It includes chapters dedicated to alarm prediction from Big Data, alerts in the context of smart cities and "mobiquitous" smartphone computing, and the potential of information systems for alerts related to ecology (extinction of species), pharmacology or meteorology (floods, natural hazards, etc.).
Recent research has highlighted the pitfalls of alarm/alert detection using such systems : false alarms, the dissemination of false information (fakes, spam), and distorted alerts which arrive too late or never arrive at all, failing to pass the filter of access policies. At the same time, genuine alerts are not always heard in a crowded social media sphere : they are identified, but sometimes too late.
Exploring the strengths and limitations of the role of information systems in alarm/alert detection, this book provides a selection of viewpoints on the primary issues of the field, drawing on both case studies and theoretical work. It includes chapters dedicated to alarm prediction from Big Data, alerts in the context of smart cities and "mobiquitous" smartphone computing, and the potential of information systems for alerts related to ecology (extinction of species), pharmacology or meteorology (floods, natural hazards, etc.).
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