Business Applications Of Neural Networks: The State-of-the-art Of Real-world Applications

Pirmais vāks
Bill Edisbury, Paulo J G Lisboa, Alfredo Vellido
World Scientific, 2000. gada 30. aug. - 220 lappuses
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Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests — from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise.This book reviews the state-of-the-art in current applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.

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Saturs

Chapter 1 On the Use of Neural Networks for Analysing Travel Preference Data
1
Chapter 2 Extracting Rules Concerning Market Segmentation from Artificial Neural Networks
13
Chapter 3 Characterising and Segmenting the BusinesstoConsumer ECommerce Market Using Neural Networks
29
Chapter 4 A Neurofuzzy Model for Predicting Business Bankruptcy
55
Chapter 5 Neural Networks for Analysis of Financial Statements
73
Chapter 6 Developments in Accurate Consumer Risk Assessment Technology
85
Chapter 7 Strategies for Exploiting Neural Networks in Retail Finance
99
Chapter 8 Novel Techniques for Profiling and Fraud Detection in Mobile Telecommunications
113
Chapter 9 Detecting Payment Card Fraud with Neural Networks
141
Chapter 10 Money Laundering Detection with a NeuralNetwork
159
Chapter 11 Utilising Fuzzy Logic and Neurofuzzy for Business Advantage
173
Index
195
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