现代电子技术2017，Vol.40Issue(12)：19-21,27,4.DOI:10.16652/j.issn.1004-373x.2017.12.005
云计算环境下海量音乐资源的高精度定位挖掘方法研究
Research on high-precision location mining method of massive music resources in cloud computing environment
摘要
Abstract
As the location retrieval accuracy of mining massive music resources in the cloud big data environment is not high,positioning mining method of massive music resources in cloud computing environment is improved,and a high-precision positioning mining method of massive music resources based on adaptive cascade retrieval control is proposed. The semantic fea-ture segmentation and time series state space reconstruction of data information in massive music resource database are conduct-ed according to the key words and music types,and then the self-correlation feature extraction of massive music resources in cloud computing environment is carried out. The extracted self-correlation features are taken as the pheromone guide to make high-precision positioning mining. The adaptive cascade retrieval control model is used to control the mining accuracy. The simu-lation analysis results show that this method can improve the positioning mining accuracy of music resources,resource utiliza-tion and data precision ratio.关键词
云计算环境/海量音乐资源/定位挖掘/检索控制Key words
cloud computing environment/massive music resources/location mining/retrieval control分类
信息技术与安全科学引用本文复制引用
王倩..云计算环境下海量音乐资源的高精度定位挖掘方法研究[J].现代电子技术,2017,40(12):19-21,27,4.基金项目
国家自然科学基金(11073016) （11073016）
