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基于数据包分析的流媒体多语义流行度模型
  • ISSN号:1001-3695
  • 期刊名称:计算机应用研究
  • 时间:0
  • 页码:3372-3375
  • 分类:TP301.6[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术] TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China, [2]School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China, [3]School of Mathematics Science and Computer, Wuyi University, Wuyishan 354300, China
  • 相关基金:ACKNOWLEDGEMENTS This research was supported by National Natural Science Foundation of China (No.61171109), Applied Basic Research Programs of Sichuan Science and Technology Departnlent (No.2014JY0215) and Basic Research Plan in SWUST (No. 13zx9101). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
  • 相关项目:新一代广播网的语义计算与内容管理机制研究
中文摘要:

Ling Xing, is a Professor in School of Information Engineering, Henan University of Science and Technology, China. She received the Ph.D. degree in Communication and Information System from Beijing Institute of Technology in 2008.Her research interests include social network engineering, big data mining and information intelligent management. Email: xingling my@163.com Qiang Ma, is a Ph.D. candidate of Institute of Electronic Engineering, China Academy of En- gineering Physics. He received the M.S. degree in automation from University of Science and Technology of China in 2008. His current research interests include social network engineering and multimedia semantics analysis. Ling Jiang, is an assistant with communication engineering, Department of Mathematics and Computer Science, Wuyi University. She received the M.S. degree in Southwest University of Science and Technology. Her major interests include data mining and computer social network.

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期刊信息
  • 《计算机应用研究》
  • 北大核心期刊(2011版)
  • 主管单位:四川省科学技术厅
  • 主办单位:四川省计算机研究院
  • 主编:刘营
  • 地址:成都市成科西路3号
  • 邮编:610041
  • 邮箱:arocmag@163.com
  • 电话:028-85210177 85249567
  • 国际标准刊号:ISSN:1001-3695
  • 国内统一刊号:ISSN:51-1196/TP
  • 邮发代号:62-68
  • 获奖情况:
  • 第二届国家期刊奖百种重点科技期刊,国内计算技术类重点核心期刊,国内外著名数据库收录期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:60049