Introduction to data mining

Discussion: 

Discuss two (2)  methods for combining multiple anomaly detection methods to improve the identification of anomalous objects. You must consider both supervised and unsupervised cases in your discussion.

Assignment:
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. Requirements:

1. Provide a 500 word (or 2 pages double spaced) minimum reflection.
2. You MUST Provide a single thesis statements in your introductory paragraph.
3. Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.
4. Share a personal connection that identifies specific knowledge and theories from this course.
5. Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. 
6. You should not, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace. 
7.  Don’t forget that the grade also includes the quality of writing.