Information Warfare And Homeland Security Collection: Surveillance Technologies And Early Warning Systems: Data Mining Applications For Risk Detection, 1st Edition

  • Ali Serhan Koyuncugil
  • Published By:
  • ISBN-10: 1616928670
  • ISBN-13: 9781616928674
  • DDC: 658.056312
  • Grade Level Range: College Freshman - College Senior
  • 333 Pages | eBook
  • Original Copyright 2011 | Published/Released October 2011
  • This publication's content originally published in print form: 2011

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About

Overview

This book presents an alternative to conventional surveillance and risk assessment offering a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic domains.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
1: Theoretical and Conceptual Approach to Early Warning Systems.
2: Overview of Knowledge Discovery in Databases Process and Data Mining for Surveillance Technologies and EWS.
3: Data Mining and Privacy Protection.
4: On the Nature and Scales of Statistical Estimations Divergence and Its Linkage with Statistical Learning.
5: Black–Necked Swans and Active Risk Management.
6: Early Warning Systems for Finance.
7: Financial Early Warning System for Risk Detection and Prevention from Financial Crisis.
8: Designing an Early Warning System for Stock Market Crashes by Using ANFIS.
9: Bankruptcy Prediction by Supervised Machine Learning Techniques: A Comparative Study.
10: Data Mining Used for Analyzing the Bankruptcy Risk of the Romanian SMEs.
11: Early Warning Systems for Detection and Prevention of Fraud, Crime, Money Laundering and Terrorist Financing.
12: Social Aid Fraud Detection System and Poverty Map Model Suggestion Based on Data Mining for Social Risk Mitigation.
13: Collaborative Video Surveillance for Distributed Visual Data Mining of Potential Risk and Crime Detection.
14: Data Mining and Economic Crime Risk Management.
15: Data Mining in the Investigation of Money Laundering and Terrorist Financing.
16: Early Warning Systems for Customer Services and Marketing.
17: Data Mining and Explorative Multivariate Data Analysis for Customer Satisfaction Study.
18: Using POS Data for Price Promotions Evaluation: An Empirical Example from a Slovenian Grocery Chain.
Compilation of References.
About the Contributors.
Index.