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Data Warehousing and Mining (ISE 350) Course Details

Course Name: Data Warehousing and Mining
Code: ISE 350
Pre-requisite Course(s):
Objective: The objectives of this course are to introduce and describe data warehousing steps and methods for accessing and analyzing warehouse data; and to introduce the basic concepts and rule mining techniques and develop skills of using recent data mining software for solving practical problems.
Content: Data warehousing fundamentals. Planning, design and implementation and administration of data warehouses. Data cube computation. OLAP query processing. Fundamentals of data mining and relationship with data warehouse and OLAP systems. Association rule mining. Algorithms for clustering, classification and rule learning.
Term: Spring
Theory: 3
Application: 0
Laboratory: 0
Credit: 3
Web:
ECTS Course File: Course File
Course File: Course File
ECTS: 6