Friday, October 13, 2017. I always feel some difficulty for newbies in data warehousing to grasp all theoretical aspects due to the complexity of the tools and the long-running process of data warehousing, which starts by selecting the data source and ends by visualizing the information. Therefore, I designed several examples in my course, and I realized that the examples helped students to understand the overall picture better.

Topic analysis and trend summarization in enterprise social networks. Application of Genetic Algorithm to Piece-Wise Linear Approximation of Response Curves. Regression Analysis and Wicked Business Problems. Joint Regression Models for Sales Analysis Using SAS. Credit Risk Evaluation of Online Personal Loan Applicants- A Data Mining Approach. A Brief Introduction to Spatial Regression. A Brief Introduction to Spatial Interpolation.

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