Download Data Mining With Neural Networks: Solving Business Problems by Joseph P. Bigus PDF

By Joseph P. Bigus

Readers will locate concrete implementation ideas, bolstered with real-world company examples and no less than formulation, and case stories drawn from a wide diversity of industries. The e-book illustrates the preferred info mining features of class, clustering, modeling, and time-series forecasting--through examples constructed utilizing the IBM Neural community application.

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Extra info for Data Mining With Neural Networks: Solving Business Problems from Application Development to Decision Support

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Forecasting S&P and gold futures prices: An application of neural networks, Journal of Futures Markets, Vol. , pp. 631-ti43. L. L. Kennedy. 1994. Autonomously learning neural networks for clinical decision support, Proceedings of the International Conference on Neural Networks and Expert Systems in medicine and Healthcare, 1994, pp. 15-22. Komo, D. , C. Chang, and H. Ko. 1994. Stock market index prediction using neural networks, Proceedings of SPIE, Vol. 2243, pp. 516-26. Y. 1994. Artificial neural networks and their business applications, Infonnation and Management, Vol.

LI. Dagli. 1995. Intelligent design retrieval and packaging system: application of neural networks in design and manufacturing, International Journal Prod. Res. (UK) Vol. , pp. 405-26. R. 1995. Comment: for the real gold in customer data, dig deep, The American Banker, May 10,1995. , G. J. Matheus. 1992. Knowledge discovery in databases: an overview, AI Magazine, Fall, pp. 57-ti9. Gessaroli, J. 1995. Data mining: A powerful technology for database marketing, Telemarketing Vol 13, No. 11, May, pp.

Notice that the "discovery" element of this picture is provided by the data analyst and her selection of which data to request and view. In most respects, this is a query application integrated with a graphical display system. In contrast, a data mining solution to this problem would be to mine a database that contains sales and inventory infonnation on the prodUct. 6 shows a typical scenario for using data mining for decision support. Starting with a selection of prepared data, a neural network is used to build a sales and inventory forecast model.

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