Μεθόδοι εξόρυξης και ανάκτησης ακουστικών και συμβολικών μουσικών δεδομένων

Abstract

This thesis deals with the retrieval and mining of musical data in wired and wireless environments, which is stimulated by the need for increased efficiency in the retrieval as well as mining of non-obvious information from the previously mentioned musical data in a plethora of dierent systems that manage the continuously increasing volume of the musical data. In detail, the thesis focuses on the mining process of information from symbolicmusic data and the retrieval of acoustical music pieces. As far as the symbolic data are concerned, the methods presented herein collect structural elements based on which new methods for the representation, as well as the genre classi cation of the musical information are derived. As for the bulky acoustic data, the thesis focuses on indexing for their faster retrieval and methods for their retrieval in wired and wireless peer-to-peer networks.