Logotip de l'OpenStreetMap 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?

Icona de correu electrònic Icona de Bluesky Facebook Icon Icona de LinkedIn Icona de Mastodon Icona de Telegram Icona de X

Discussió

Comentari de cartinus el 18 Maig 2014 a les 01.42

When using WhoDidIt you can see which changesets contain lots of deletions.

Comentari de naoliv el 18 Maig 2014 a les 02.18

The problem is that I can’t manually verify every changeset (and that’s why I am wanting some kind of classifier).

Comentari de Nakaner el 18 Maig 2014 a les 13.04

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.

Comentari de cartinus el 18 Maig 2014 a les 19.02

That is why I mentioned WhoDidIt. Changesets with lots of deletions are specially marked. So you won’t have to check them all.

Inicia sessió per a fer un comentari