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https://issues.apache.org/jira/browse/SIS-324?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15210774#comment-15210774
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Jesse Maes commented on SIS-324:
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Hi Dr. Marru,
Sorry, I didn't realize the file would be readable before I actually submitted
my comment! I've converted the proposal to a Google Doc for the sake of sharing
on the Summer of Code site:
https://docs.google.com/document/d/1u9eE5UaRtD0Ks77xP0hdwvZCL5xGO6hGUESvXeXgfJA/edit?usp=sharing
I also went through and changed the pronouns, as you suggested. I consider
documentation and testing to be a part of development, and I language to try to
make that more obvious.
> Develop Hidden Markov Model to predict criminal moments
> ---------------------------------------------------------
>
> Key: SIS-324
> URL: https://issues.apache.org/jira/browse/SIS-324
> Project: Spatial Information Systems
> Issue Type: New Feature
> Reporter: Suresh Marru
>
> The proposed project extends https://issues.apache.org/jira/browse/SIS-97.
> The Agent based modelling project during GSoC 2013 used a probabilistic model
> that was hardcoded. It served as the basis to predict criminal’s movements
> which infer crimes. This proposed project should do the inverse. Predict the
> probabilistic model that controls the criminals’ behavior using data about
> his movements and crimes.
> The project should be preliminary work for data mining. From a sample
> anonymised emergency call (911 data) a criminal should be uniquely
> identified. Hidden Markov Model, a probabilistic state transition system,
> i.e., we define states such as “at home”, “in office etc”, “roaming mode”
> etc, and there are probabilistic transitions between them. We can associate
> some behavior to a particular state. Thus, the probabilistic model that was
> hardcoded by Nadeem (in GSOC 2013) was a Markov model (this is a little
> indirectly). When we only have the crime data and we want to find the model
> that dictates the criminal’s behavior, the Markov model is hidden to us.
> There are algorithms that can do this. These algorithms need to have their
> parameters set by humans – such as the number of states. So this would need
> some amount of experimentation.
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