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A practical explanation of how to use neural network technology to mine and process data for business applications such as rankings customers and suppliers, defining target markets, building price estimators, and tracking the success of mailing and marketing campaigns. Based on the IBM Neural Network Utility, which Bigus helped develop. For business executives and information professionals. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support
by Joseph P. BigusView All Available Formats & Editions
This practical,case study book is an essential tool for information systems managers and others who want to apply neural network technology and the techniques of data mining to solve common business problems such as forecasting sales and inventory patterns and analysing customer profiles. Readers will find concrete implementation strategies,reinforced with real-world… See more details below
Overview
This practical,case study book is an essential tool for information systems managers and others who want to apply neural network technology and the techniques of data mining to solve common business problems such as forecasting sales and inventory patterns and analysing customer profiles. Readers will find concrete implementation strategies,reinforced with real-world business examples and a minimum of formulas,and case studies drawn from a broad range of industries. The book illustrates the popular data mining functions of classification,clustering,modeling,and time-series forecasting-through examples developed using the IBM Neural Network Utility.
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Product Details
- ISBN-13:
- 9780070057791
- Publisher:
- McGraw-Hill Companies, The
- Publication date:
- 06/01/1996
- Pages:
- 220
- Product dimensions:
- 5.85(w) x 8.89(h) x 0.47(d)
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