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TASK Quarterly

INFORMATIONAL DATABASE ON SELECTED MUSIC WORKS

Abstract

Basing on the review of available literature devoted to applications of programming tools in research on mechanism of music perception, the first results of my own research devoted to mining of hidden regularities in pieces of various types of music is presented. General characteristics of the developed databases, methodology of executed research, and discussion of the discovered knowledge structures for selected types of music pieces are briefly dealt with.

Keywords:

attributes of music, decision trees, inference rules

Details

Issue
Vol. 4 No. 1 (2000)
Section
Research article
Published
2000-03-31
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

MONIKA P. HIPPE,
Pedagogical University, Department of Musical Education



Authors

MONIKA P. HIPPE

Pedagogical University, Department of Musical Education

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