| Website: | website containing additional information |
| Course code: | INFOGDM |
| Credits: | 7.5 ECTS (=5.25 old credit points) |
| Period: | periode 1 (week 36 t/m 46, dwz 1-9-2003 t/m 14-11-2003; herkansing week 52)
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| Participants: | up till now 5 subscriptions |
| Schedule: | Dit is een oud rooster!
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| 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.
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| 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.
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| 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. |
