On Thu, Mar 19, 2009 at 1:03 PM, Delirium <delirium(a)hackish.org> wrote:
Brian wrote:
This extension is very important for training
machine learning
vandalism detection bots. Recently published systems use only hundreds
of examples of vandalism in training - not nearly enough to
distinguish between the variety found in Wikipedia or generalize to
new, unseen forms of vandalism. A large set of human created rules
could be run against all previous edits in order to create a massive
vandalism dataset.
As a machine-learning person, this seems like a somewhat
problematic
idea--- generating training examples *from a rule set* and then learning
on them is just a very roundabout way of reconstructing that rule set.
What you really want is a large dataset of human-labeled examples of
vandalism / non-vandalism that *can't* currently be distinguished
reliably by rules, so you can throw a machine-learning algorithm at the
problem of trying to come up with some.
since theres already a database, this sounds like could be done flagging
edits as "vandalism", and then reading the existing database information to
extract these details, like ip, a diff of the change, etc.. that way,
humans define what is a "vandalism", and the machine can learn the meaning.
this may need a button or something, so users report this, and the database
flag the edit
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ℱin del ℳensaje.