Data Mining
Semester:
Spring - The objective of this course is studying the various algorithms for data extraction. Student should have some knowledge of the concepts and terminology associated with statistics, database systems, machine learning, and programming experience. In particular, you should be able to read pseudocode and understand simple data structures, such as multidimensional arrays.
- The grades are distributed as follows:
- 70 marks for final exam.
- 10 marks for Mid term
- 10 marks for practical exam (WEKA program).
- 10 marks for assignments.