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October 20th, 2014, 06:49 AM
#1
Choosing algorithm depending on tree data structure
I have a data tree which is very wide. I have under 1000 nodes/file and never more than 4 levels deep (counting the root element as level 0).
Now I want to calculate the difference between two of these trees. so far I have been looking at different algorithms for tree edit distance (Sasha/Zhang, Demaine and Pawlik/Augsten).
I wonder if there are better suited algorithms for tree matchings with this structure? I do know where most of the changes will occur within the file, and I figure I should be able to use this in order to speed up the process if I need to multithread this operation, maybe I dont need too since I dont have that large files?
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