The Realization of an Algorithm for the State Knowledge Discovery Based on Induction Logic

With the development of research and application of data mining and knowledge acquisition, the requirements for accessing to state, variation and causality contained in scientific and engineering data set have been increasing. In this paper, for analyzing and mining the continuous and time-varying data, an algorithm for state data mining is proposed, which is based on language value structure and inductive logic. And the validity of the algorithm is verified by experiments. The method is suitable for mining the states and variation rules from the scientific and engineering database.