Abstract
This work is devoted to the development and substantiation of intellectual data mining as applied to studying folklore and mythological traditions. The approach is based on use of the functions of distance between traditions. The examples of application of the methods developed to investigate the interrelation between folklore traditions of the American continent are considered.
Similar content being viewed by others
References
Yu. E. Berezkin, Myths Colonize America. Areal Distribution of Folkloric Motifs and Early Migrations into the New World (Izdatel’stvo OGI, Moscow, 2007) [in Russian].
O. V. Sen’ko, “Permutation Test in the Method of Optimal Partitions,” Zh. Vych. Matem. i Matem. Fiz., No. 9, 1438–1447 (2003).
Yu. I. Zhuravlev, V. V. Ryazanov, and O. V. Sen’ko, Recognition. Mathematical Methods. Software System. Applications (Fazis, Moscow, 2006) [in Russian].
Author information
Authors and Affiliations
Corresponding author
Additional information
Yurii E. Berezkin, doctor of history, head of the Department of American Nations, Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences. Scientific interests: America peopling, setting of early civilizations of the Old and New World, developing of catalogues of folklore and mythological motifs.
Svetlana A. Borinskaya was born in 1957. In 1980 she graduated from the Faculty of Biology of Moscow State University. She received her candidate’s degree in biology in 1999. She is a leading researcher of Vavilov Institute of General Genetics. Scientific interests: human genetics and adaptation, biological, social and cultural evolution, cross-culture researches.
Anna V. Kuznetsova was born in 1961. In 1986 she graduated from the 2nd Moscow Medical Institute. From 1991 to 1994 she attended post-graduate courses and received her candidate’s degree in biology in 1990. She is a senior researcher of Emmanuel Institute of Biochemical Physics. Scientific interests: pattern recognition, intellectual methods of data mining, developing and forecasting algorithms in medicine, and biological and medical applications in medicine and other fields.
Oleg V. Sen’ko was born in 1957. In 1981, he graduated from the Moscow Institute of Physical Technology, in the years 1985–1989 he attended post-graduate courses and received his candidate’s degree in 1990. At present he is a leading researcher at the Dorodnicyn Computing Centre, Russian Academy of Sciences. In 2007 he became a full doctor of physics and mathematics. Scientific interests: data mining, mathematical models of pattern recognition, classification, forecasting, and practical applications in medicine and other fields.
Rights and permissions
About this article
Cite this article
Berezkin, Y.E., Borinskaya, S.A., Kuznetsova, A.V. et al. Study of folklore and mythological traditions using intellectual data mining. Pattern Recognit. Image Anal. 19, 630–633 (2009). https://doi.org/10.1134/S1054661809040099
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1054661809040099