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Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining

Authors
/persons/resource/eriksch

Scharwächter,  Erik
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/emueller

Müller,  Emmanuel
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Seidl,  Thomas
External Organizations (TEMPORARY!);

Hassani,  Marwan
External Organizations (TEMPORARY!);

Donges,  Jonathan
External Organizations (TEMPORARY!);

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Citation

Scharwächter, E., Müller, E., Seidl, T., Hassani, M., Donges, J. (2016): Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. - In: 16th IEEE International Conference on Data Mining: 12-15 December 2016, Barcelona, Catalonia, Spain: proceedings, Piscataway, NJ : IEEE, 1191-1196.


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1897904
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