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Geographic data mining

Website:website containing additional information
Course code:INFOGDM
Credits:7.5 ECTS (=5.25 old credit points)
Period:period 1 (week 36 through 46, i.e., 1-9-2003 through 14-11-2003; retake week 52)
Participants:up till now 3 subscriptions
Schedule:Dit is een oud rooster!
formgrouptimeweekroomteacher
seminar   Mon 11-1336-46 BBL-505 Marc van Kreveld
 
Thu 15-1736-46 BBL-420
Contents:During the seminar we will go through various chapters of the book by Miller and Han (editors): Geographic Data Mining and Knowledge Discovery. Data mining topics like finding association rules, clustering, and data warehouses will be treated for the specific theme of geographic data and applications. Chapter 1: Geographic data mining and knowledge discovery: an overview. Chapter 2: Paradigms for spatial and spatio-temporal data mining. Chapter 3: Fundamentals of spatial data warehousing for geographic knowledge discovery. Chapter 6: Modelling spatial dependencies for mining geospatial data: an introduction. Chapter 7: Algorithms and applications for spatial data mining. Chapter 8: Spatial clustering methods in data mining: a survey. Chapter 9: Detecting outliers from large datasets. Optional: Chapter 10: GeoInsight: an approach for developing a knowledge construction process based on the integration of GVis and KDD methods. Chapter 14: Mining mobile trajectories.
Literature:Copies from the book by Miller and Han (editors): Geographic Data Mining and Knowledge Discovery. Taylor and Francis, 2001. Additional papers will also be used.
Course form:Seminar with limited participation. The students will prepare and present the chapters of the book and the additional papers. The idea is that of collaborative learning about a topic. Depending on the number of participants, an overview of a particular theme within GDM will also be written and presented.
Exam form:Presentations, probably combined with a written overview. The GIS course is a prerequisite. Students who followed geometric algorithms but not GIS should contact the lecturer.
Minimum effort to qualify for 2nd chance exam:Om aan de aanvullende toets te mogen meedoen is ontbreken van ten hoogte 1 toetsactiviteit toegestaan.
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