Required Text(s)

Han, J., Kamber, M., and Pei, J. (2011). Data Mining: Concepts and Techniques (3rd ed.). San Francisco: Morgan Kaufmann In. ISBN#: 978-0-12-381479-1 (print), 9780123814807 (e-text).
Tan, P., Sreiback, M., and Kumar V. (2006). Introduction to Data Mining (1st ed.). Boston: Pearson Addison Wesley. ISBN#: 978-0321321367 (print).
IT 446- Data Mining and Data Warehousing
Assignment No. 1

Due Date: 27th February, 2016 (Saturday, 11:59 pm)
Total Marks: 04

Important Instructions:
1. This is an individual work, so make sure it is your own: express yourself in your own words in a precise and concise manner
2. Search the book or other resources to have a better understanding of the questions.
3. Use ‘Word Processor’ to answer the questions.
4. Submission must be through the submission folder set by your instructor on Blackboard, no email submissions will be accepted.
5. Late submission or plagiarism will result in ZERO mark.
6. This assignment worth 4 marks of the total course mark.

Question No. 1:
Brief any two examples for data mining applications apart from those given in the slides.

Question No. 2:
Given the coordinates between two objects i.e. Object A and Object B, find the distance matrices using Euclidean distance and Minkowski distance:

C1 C2 C3 C4
Object A 0 3 4 5
Object B 7 6 3 -1

Question No. 3:
Differentiate between correlation analysis and covariance analysis of data with the help of a suitable example not given in the slides.

Question No. 4:
How many cuboids are there in a 4-dimensional cube with L levels?