Показать сокращенную информацию

dc.contributor.authorQin, Zeng
dc.date.accessioned2022-06-10T05:53:27Z
dc.date.available2022-06-10T05:53:27Z
dc.date.issued2022-04-19
dc.identifier.citationQin, Z. (2022). A data mining-based evaluation technique for music teaching. Mobile Information Systems, 2022, 1-7.en_US
dc.identifier.issn1574-017X
dc.identifier.urihttps://hdl.handle.net/20.500.12852/2086
dc.descriptionJournal articleen_US
dc.description.abstractMusical data mining covers a number of methodologies to successfully apply data mining techniques for music processing, drawing together a multidisciplinary array of top experts. The field of music data acquisition has grown through time to solve the difficulties of obtaining and engaging with enormous amounts of music and associated data, such as styles, artists, lyrics, and reviews. In order to improve the quality of music teaching, a music teaching evaluation based on data mining is proposed. Data mining is becoming more widely accepted as a viable form of inquiry for analyzing data obtained in natural settings. More and more attention is paid to music teaching. Actual data is frequently inadequate, unreliable, and/or lacking in specific behaviors or patterns, as well as including numerous inaccuracies. Preprocessing data is a tried-and-true means of resolving such problems. Music teaching data is divided into three steps after preprocessing, that is, “object and object type,” “music teaching data normalization,” and “data integration.” A model is built with a high-dimensional characteristic distribution and essential parameters of convergent teaching capacity. The experimental results show that the data mining method can be used for music teaching evaluation and has the advantages of short evaluation time, high accuracy, and clear indicators.en_US
dc.language.isoenen_US
dc.publisherHindawien_US
dc.relation.urihttps://downloads.hindawi.com/journals/misy/2022/2470777.pdfen_US
dc.rightsAttribution 3.0 Philippines*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/ph/*
dc.subject.lcshData miningen_US
dc.subject.lcshMusic--Instruction and studyen_US
dc.subject.lcshMusic--Instruction and study--Evaluationen_US
dc.subject.lcshTeaching--Evaluationen_US
dc.subject.lcshMultimedia data miningen_US
dc.titleA data mining-based evaluation technique for music teachingen_US
dc.typeArticleen_US
dcterms.accessRightsPublicly accessibleen_US
dc.citation.firstpage1en_US
dc.citation.lastpage7en_US
dc.citation.journaltitleMobile Information Systemsen_US
dc.citation.volume2022en_US
dc.identifier.doi10.1155/2022/2470777
dc.identifier.essn1875-905X


Файлы в этом документе

Thumbnail
Thumbnail

Данный элемент включен в следующие коллекции

Показать сокращенную информацию

Attribution 3.0 Philippines
Except where otherwise noted, this item's license is described as Attribution 3.0 Philippines