9783838100821 - mining the web for music artist-related information: automatically extracting, analyzing, and visualizing information on music artists from the world wide web de schedl, markus (4 resultados)
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Editorial: Südwestdeutscher Verlag für Hochschulschriften, 2015
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 92,90
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Taschenbuch. Condición: Neu. Mining the Web for Music Artist-Related Information | Automatically Extracting, Analyzing, and Visualizing Information on Music Artists from the World Wide Web | Markus Schedl | Taschenbuch | 172 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838100821 | Verantwortlich…e Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Editorial: Südwestdeutscher Verlag Für Hochschulschriften Okt 2008, 2008
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Music-related metadata is becoming more and more important in times of digital music distribution. Methods for automatically extracting such information from the WWW have been elaborated, implemented, and analyzed. On sets of Web pa…ges that are related to a music artist or band, Web content mining techniques are applied to address the following categories of information: similarities between music artists, prototypicality of an artist for a genre, descriptive properties of an artist, band members and instrumentation, images of album cover artwork. Different approaches to retrieve the corresponding pieces of information for each of these categories have been elaborated and evaluated thoroughly on a considerable variety of music repositories. Moreover, visualization methods and user interaction models for prototypical and similar artists as well as for descriptive terms will be presented. Based on the insights gained by the conducted experiments, the core application of this thesis, the Automatically Generated Music Information System (AGMIS) was build. AGMIS demonstrates the applicability of the elaborated techniques on a large collection of more than 600,000 artists. 172 pp. Deutsch.
Idioma: Inglés
Editorial: Südwestdeutscher Verlag Für Hochschulschriften Okt 2008, 2008
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 92,90
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Music-related metadata is becoming more and more important in times of digital music distribution. Methods for automatically extracting such information from the WWW have been elaborated, implemented, and analyzed. On sets of Web pages…that are related to a music artist or band, Web content mining techniques are applied to address the following categories of information: similarities between music artists, prototypicality of an artist for a genre, descriptive properties of an artist, band members and instrumentation, images of album cover artwork. Different approaches to retrieve the corresponding pieces of information for each of these categories have been elaborated and evaluated thoroughly on a considerable variety of music repositories. Moreover, visualization methods and user interaction models for prototypical and similar artists as well as for descriptive terms will be presented. Based on the insights gained by the conducted experiments, the core application of this thesis, the Automatically Generated Music Information System (AGMIS) was build. AGMIS demonstrates the applicability of the elaborated techniques on a large collection of more than 600,000 artists.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Deutsch.
Idioma: Inglés
Editorial: Südwestdeutscher Verlag Für Hochschulschriften, 2009
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 92,90
Envío por EUR 61,37Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Music-related metadata is becoming more and more important in times of digital music distribution. Methods for automatically extracting such information from the WWW have been elaborated, implemented, and analyzed. On sets of Web pages t…hat are related to a music artist or band, Web content mining techniques are applied to address the following categories of information: similarities between music artists, prototypicality of an artist for a genre, descriptive properties of an artist, band members and instrumentation, images of album cover artwork. Different approaches to retrieve the corresponding pieces of information for each of these categories have been elaborated and evaluated thoroughly on a considerable variety of music repositories. Moreover, visualization methods and user interaction models for prototypical and similar artists as well as for descriptive terms will be presented. Based on the insights gained by the conducted experiments, the core application of this thesis, the Automatically Generated Music Information System (AGMIS) was build. AGMIS demonstrates the applicability of the elaborated techniques on a large collection of more than 600,000 artists.
