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Predictive Analytics Data Mining文档.pdf

发布:2018-04-21约1.71万字共37页下载文档
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Predictive Analytics Data Mining: Five Key Factors for Predictive Analytics Opportunity Identification Speaker Thomas Tony Rathburn Senior Consultant, The Modeling Agency Predictive Analytics Data Mining Best Practices TDWI in partnership with C3 Business Solutions is bringing two days of predictive analytics and data mining education to Australia with Instructor, Tony Rathburn Sydney: July 30 31 Melbourne: August 2 3 Canberra: August 6 7 BI DW Predictive Analytics Data Mining Best Practices • Day 1 Predictive Analytics: Low-Risk Strategies for High Impact Projects An intensive vendor-neutral and non-promotional introduction to data mining best practices and an approach to predictive analytics that is critical to modeling success. YOU WILL LEARN: • Process, principles, and terminology for predictive analytics • Who is utilizing predictive analytics and why • Common project pitfalls and how to avoid them • Project performance and maintenance issues • How to define business objectives for a decision support system • Hands-on exposure to the natural messiness of data mining • How to get started BI DW Predictive Analytics Data Mining Best Practices • Day 2 Data Mining Methods and Techniques: Data Preparation, Model Building and Evaluation This course presents data mining methods and process at the tactical level offering an intensive functional orientation to data mining concepts, tools, techniques and supporting methods.
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