Statistical Relational Learning for Document Mining

  title={Statistical Relational Learning for Document Mining},
  author={Alexandrin Popescul and Lyle H. Ungar and Steve Lawrence and David M. Pennock},
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have complex relational structures. We propose an integrated approach to statistical modeling from relational databases. We structure the search space based on “refinement graphs”, which are widely used in inductive logic programming for learning logic descriptions. The use of statistics allows us to extend the search space to… CONTINUE READING
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