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ENGINEERING FACULTY / GEOMATIC ENGINEERING / HRT3015 - SPATIAL DATA MINING
GENERAL INFORMATION ABOUT THE COURSE
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Course Title
Theoretical
Practical
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Course Objective
The objective of this course is to introduce the main issues in the theory and practice of data mining and knowledge discovery and how to process geospatial data in this context. Students are introduced what kind of information from geospatial data can be obtained by which analysis operations and algorithms. Students, after taking the course, are expected to have an understanding of the core concepts related to how to obtain knowledge that will be used in decisions from geospatial data by using data mining techniques.
Brief Content of the Course
Data cubes, data pre-processing, association rules, classification methods, clustering algorithms, regression analysis, and outlier detection.
Prerequisites
None
Course Objectives
Course Objectives
1
Students express basic concepts of geospatial data mining.
2
Students recognize basic principles, techniques and tools of geospatial data mining.
3
Students solve basic geospatial data mining problems.
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Course Category
Course Category
Percentage
Mathematics and Basic Sciences
Basic Vocational Courses