Antonelli, Terry, Stout & Kraus, LLP
Method for learning data processing rules from graph information
 A learning method for performing a method of inductively learning rules from machine data, and a method for analyzing an inference process to learn rules useful for increasing efficiency by a common program are provided. Data desired to be classified is converted into a graph and is then input. The course of process by a computer is also converted into a graph and is then input. Then, patterns appearing in the input graph are extracted and patterns having a good evaluation result are output. The patterns are converted into rules for classification and rules for high-speed operation in accordance with a kind of the input graph, and are output. 
Hitachi, Ltd.
G
G06N
inventional
Kenichi
Yoshida