9783838100821 - mining the web for music artist-related information: automatically extracting, analyzing, and visualizing information on music artists from the world wide web di schedl, markus (4 risultati)
Lingua: Inglese
Editore: Südwestdeutscher Verlag für Hochschulschriften, 2015
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 92,90
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: 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 | Verantwortlic…he Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften Okt 2008, 2008
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 92,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: 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 p…ages 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.
Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften Okt 2008, 2008
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 92,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Südwestdeutscher Verlag Für Hochschulschriften, 2009
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 92,90
EUR 61,37 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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…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.
