title: Machine Learning on server log data
body: <p>I recently got access to a huge amount of server log data (at the new job). I have some experience in machine learning from college. The logs data include server logs, database access logs etc. I was wondering what kind of learning can be done from such a data.</p>
  
  <p>One little thing i tried was to predict number of requests on a certain hour of the day based on the data of past week, which seemed ok but this is kind of trivial. So,</p>
  
  <ul>
  <li>What kind of learning can be done from such data?
  <ul>
  <li>May be predicting the probability of an IP doing spam clicks on ads(yes the company is into that) based on some usage pattern of previous spammers?</li>
  <li>May be predicting at what time the traffic may shoot up.</li>
  </ul></li>
  <li>Are there any existing tools/projects which specifically leverage?</li>
  <li>Any interesting resources/papers which talk about similar stuff?</li>
  <li>Also, data related process activity at over a certain time on server. can this be any useful for learning?</li>
  </ul>