Data Mining related Questions and answers

1. How is a data mining different from a database? 2. Present an example where data mining is crucial to the success of a business. 3.Explain the difference and similarity between discrimination and classification, between characterization and clustering, and between classification and regression 4.Describe three challenges to data mining a regarding data mining methodology and user interaction issue. 5.Outline the major research challenge of data mining in one specific application domain, such as stream/sensor data analysis, spatiotemporal data analysis, or bioinformatics. 6. Briefly outline how to compute the dissimilarity between objects described by the following: (a) Nominal attributes (b) Binary attributes (c) Numeric attribues 7. Briefly outline how to compute the visualization techniques described by the following: (a) Pixel-oriented (b) Geometric-based (c) Parallel coordinates 8. Define what is the data preprocessing and explain four steps. 9. In real-world data, tuples with missing values for some attributes are a common occurrence. Describe various methods for handling this problem. 10. Briefly outline the normalization methods and show an example.