Design of 3-factor strict local language in ethological data mining of bengalese Finch's and White-Rumped Munia's song
The aim of the paper is to extract and compare the behavioral units of Bengalese Finch and White-Rumped Munia's songs and represent them by a scanner which is a counter automaton of sub-regular language. Scanner allows us to recognize the bird songs at a fast rate. We have used ethological data mining and automata-based approach for finding the rules governing the structure of bird songs. We have demonstrated the difference in the results obtained for both the birds. The results indicate that it is possible to represent these songs by using 3-factor strictly local language.