OpenStreetMap
Sometimes we find here in Brazil some imported data from +4 months ago, that nobody saw until now. Usually, these imports are followed by some other changesets deleting the old data + changesets modifying/adjusting the imported data.
We also see some changesets where people purposely/unconsciously delete a lot of data.
Could a Bayesian filter, SVM or something else be used to classify a suspect changeset? Could we use something smart for this task?
讨论
cartinus 于 2014年05月18日 01:42 的评论
When using WhoDidIt you can see which changesets contain lots of deletions.
naoliv 于 2014年05月18日 02:18 的评论
The problem is that I can’t manually verify every changeset (and that’s why I am wanting some kind of classifier).
Nakaner 于 2014年05月18日 13:04 的评论
The German user Oli-Wan (a very active German forum member) developes a tool to detect vandalisms and other bad changesets. He has written about his idea/work in German forum. You may contact him in e.g. in German or English.
cartinus 于 2014年05月18日 19:02 的评论
That is why I mentioned WhoDidIt. Changesets with lots of deletions are specially marked. So you won’t have to check them all.