Neural networks in business : techniques and applications / Kate A. Smith, Jatinder Gupta.

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Chapter 1: Neural networks for business: an introduction ; Chapter 2: Predicting consumer retail sales using neural ; Chapter 3: Using neural networks to model premium price sensitivity of automobile insurance customer ; Chapter 4: A neural network application to identify high-value customers for a large retail store in Japan ; Chapter 5: Segmentation of the portuguese clients of pousadas de Portugal ; Chapter 6: Neural networks for target selection in direct marketing ; Chapter 7: Prediction of survival and attrition of click-and-Mortar Corporations ; Chapter 8: Corporate strategy and wealth creation: an application of neural network analysis ; Chapter 9: Credit rating classification using Self-Organizing maps ; Chapter 10: Credit scoring using supervised and unsupervised neural networks ; Chapter 11: Predicting automobile insurance losses using artificial neural networks ; Chapter 12: Neural networks for technical forecasting of foreign exchange rates ; Chapter 13: Using neural networks to discover patterns in international equity markets: a case study ; Chapter 14: Comparing conventional and artificial neural network models for the pricing of options ; Chapter 15: Combining supervised and unsupervised neural networks for improved cash flow forecasting.

Business data is arguably the most important asset that an organization possesses. Though most businesses are now storing huge volumes of data in data warehouses, the process of converting the data into business intelligence still remains somewhat of a mystery to the broader business community. Data mining techniques such as neural networks are able to model the relationships that exist in data collections, increasing business intelligence among business applications. However the mathematical nature of neural networks has limited their adoption by the business community. This book aims to demystify neural network technology by taking a how to approach through a series of case studies from different functional areas of business. Contraportada.