This paper describes a survey on investigating judicial data to find
patterns and relations between crime attributes and corresponding decisions
made by courts, aiming to find import directions that interpretation of the law
might be taking. We have developed an initial methodology and experimentation
to look for behaviour patterns to build judicial sentences in the scope of Brazilian criminal courts and achieved results related to important trends in decision
making. Neural networks-based techniques were applied for classification and
pattern recognition, based on Multi-Layer Perceptron and Radial-basis Functions, associated with data organisation techniques and behavioral modalities
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