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What is Early Warning System

Chapter 8
Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity
This is an adaptive measure that uses an integrated communication system to help in the preparation of hazardous climate-related events.
Published in Chapter:
Detecting Bank Financial Fraud in South Africa Using a Logistic Model Tree
Katleho Makatjane (Department of Statistics, University of Botswana, Botswana) and Ntebogang Dinah Moroke (North West University, South Africa)
Copyright: © 2022 |Pages: 27
DOI: 10.4018/978-1-7998-9430-8.ch008
Abstract
Artificial intelligence is gradually becoming the standard mechanism underpinning online banking. Users' profiles can be confirmed using a variety of methods, including passcodes, fingerprints, acoustics, and images through this technology. On the other hand, traditional cybersecurity measures are unable to prevent internet-based fraud after the visualisation process has been infiltrated. In light of this, the aim of this chapter is to examine the efficiency of the logistic model tree (LMT) in detecting financial fraudulent transactions in South African banks and, ultimately, to develop a financial fraud early warning system. Web-scraping credit and debit card fraud data from SA are used to acquire daily data. The LMT is constructed utilizing a training set from the LogitBoost algorithm and obtained 17 financial conditioning elements. Overall, an early warning system model has shown to be a good performer with a prediction rate of 99.9%. This appears to be a promising approach for detecting online fraud vulnerabilities.
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Chapter 2
Early Warning System for Financial Crises
An Early Warning System (EWS) is a systemic process for evaluating and measuring risks early in order to take pre-emptive steps to minimize its impact on the financial system.
Published in Chapter: Early Warning System for Financial Crises; From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
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Chapter 6
Using Self Organizing Maps for Banking Oversight: The Case of Spanish Savings Banks
A set of different approaches to detect some time before it happens a risk that could result into losses. In the banking sector, early warning systems are used to detect in advance potential failures.
Published in Chapter: Using Self Organizing Maps for Banking Oversight: The Case of Spanish Savings Banks; From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
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Chapter 3
Predicting Global Financial Meltdown and Systemic Banking Failure: An Assessment of Early Warning Systems (EWSs) and Their Current Relevance
Or EWS , refers to the sum total of the literature canon both scholarly and applicative practitioner, the methodological approaches, and the econometric and statistical models devised, constructed, and subsequently employed to predict the onset and the evolution of systemic banking failure and of financial meltdown within a localised economy, a region, or the international system.
Published in Chapter: Predicting Global Financial Meltdown and Systemic Banking Failure: An Assessment of Early Warning Systems (EWSs) and Their Current Relevance; From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
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Chapter 9
Building a Surveillance Framework for Currency Crises in Indonesia: Macroprudential Approach
An ex ante approach to regulation, that is, one designed to highlight conditions that have in the past been associated with systemic risk.
Published in Chapter: Building a Surveillance Framework for Currency Crises in Indonesia: Macroprudential Approach; From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
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Chapter 10
Torrent Monitoring and Early Warning Systems Development: Application and Lessons Learned
An integrated system of hazard monitoring, forecasting and prediction, disaster risk assessment, communication and preparedness activities systems and processes that enables individuals, communities, governments, businesses and others to take timely action to reduce disaster risks in advance of hazardous events.
Published in Chapter: Torrent Monitoring and Early Warning Systems Development: Application and Lessons Learned; From: Prevention and Management of Soil Erosion and Torrential Floods
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Chapter 5
Early Warning Tools for Financial System Distress: Current Drawbacks and Future Challenges
Statistically-based model that estimates the probability of failure or financial distress of an individual bank or banking system, over a fixed time horizon.
Published in Chapter: Early Warning Tools for Financial System Distress: Current Drawbacks and Future Challenges; From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
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Chapter 1
Early Warning System for Banking Crisis: Causes and Impacts
Early warning system is a predictive tool used for financial crises prediction. A predictive system is designed exclusively for a specific type of financial crisis, or it can be applicable to various types of financial crises. The systems are used to predict the likelihood as well as the timing of financial crises.
Published in Chapter: Early Warning System for Banking Crisis: Causes and Impacts; From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
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Chapter 10
An Investigation of the Maastricht Fiscal Criteria and the European Union's Harmonization
Foresees that it is intervened in the member state being in a position of the tendency of occurrence of excessive budget deficit.
Published in Chapter: An Investigation of the Maastricht Fiscal Criteria and the European Union's Harmonization; From: Global Challenges in Public Finance and International Relations
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Chapter 1
Do Student-Written Responses to Reflection Questions Predict Persistence and Performance in Online Courses?: A Text Analysis Approach
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Chapter 13
Managing Risk in Global Food Supply Chains: Improving Food Security and Sustainability
An integrated system of hazard monitoring, forecasting and prediction, disaster risk assessment, communication and preparedness activities systems and processes that enables individuals, communities, governments, businesses and others to take timely action to reduce disaster risks in advance of hazardous events ( ISDR, 2009 ).
Published in Chapter: Managing Risk in Global Food Supply Chains: Improving Food Security and Sustainability; From: Handbook of Research on Industrial Applications for Improved Supply Chain Performance
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Chapter 13
Using Written Responses to Reflection Questions to Improve Online Student Retention: A Text Analysis Approach
A pedagogical-technological system that uses machine learning to identify at-risk students early in the course.
Published in Chapter: Using Written Responses to Reflection Questions to Improve Online Student Retention: A Text Analysis Approach; From: Supporting Self-Regulated Learning and Student Success in Online Courses
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Chapter 15
Early Warning System and Adaptation Advice to Reduce Human Health Consequences of Extreme Weather Conditions and Air Pollution
Early warning system is any series of steps established to spot potential problems, and reduce their adverse effects.
Published in Chapter: Early Warning System and Adaptation Advice to Reduce Human Health Consequences of Extreme Weather Conditions and Air Pollution; From: Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services
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Chapter 16
Developing EWS Models for Contemporary Crises Using Extreme Value Binary Models: The Cases of Eurozone and Argentinian Peso (2014)
Statistically-based model that estimates the probability of failure or financial distress of an individual bank or banking system, over a fixed time horizon.
Published in Chapter: Developing EWS Models for Contemporary Crises Using Extreme Value Binary Models: The Cases of Eurozone and Argentinian Peso (2014); From: Handbook of Research on Financial and Banking Crisis Prediction through Early Warning Systems
Full Text Chapter Download: US $37.50 Add to Cart

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