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Investigate and use different data mining methods, and ANN models to make decisions with enterprise data. Specifically, read the case studies in chapter 5 and 6 (Opening Vignette, End Chapter, and Application Cases) and select 3 case studies from each chapter (6 total) to show how these can be used as examples in your company. You must explicitly mention the names of the case studies and 2-3 lines about the case study highlighting the key lessons. Use text and web mining approaches to understand their usefulness for the enterprise data.

Investigate and use different data mining methods, and ANN models to make decisions with enterprise data. Specifically, read the case studies in chapter 5 and 6 (Opening Vignette, End Chapter, and Application Cases) and select 3 case studies from each chapter (6 total) to show how these can be used as examples in your company. You must explicitly mention the names of the case studies and 2-3 lines about the case study highlighting the key lessons.

Use text and web mining approaches to understand their usefulness for the enterprise data.

Overall Objective: Design and use data mining methods and ANN models to make decisions within a real life corporation (e.g., end of the chapter cases) used in the textbook.

Efraim Turban, Ramesh Sharda, Dursun Delen. Decision Support and Business Intelligence Systems. Prentice Hall, 9th edition, 2010

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