Homework
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: (i) Nominal attributes (ii) Binary attributes (iii) Numeric attributes
7) Briefly outline how to compute the visualization techniques described by the following: (i) Pixel-oriented (ii) Geometric-based (iii) Parallel coordinate
Format your homework according to the give formatting requirements:
1. The answer must be double spaced, typed, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the homework, the course title, the student's name, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The references and Citations should follow APA format. The reference page is not included in the required page length.