期刊文献+

如何通过数据深加工获取有效信息

下载PDF
导出
摘要 改革开放在我国已落实了30多年,我国经济得到快速的发展,迎来了信息量爆炸增长的时代,每个人在生活中都要处理结构化和非结构化的数据,在互联网行业中,互联网上的数据每年都以50%的速度增长,而将迅猛增加的数据加以处理、加工就会成为有价值的资料,大数据时代必然随着互联网的发展而到来。本文将重点阐述在互联网行业中如何通过数据深加工获取有效信息,为行业的进步提供更科学、更高效和有针对性的措施。
作者 占静媛
出处 《中小企业管理与科技》 2015年第16期222-222,共1页 Management & Technology of SME
  • 相关文献

参考文献3

二级参考文献16

  • 1Eirinaki M, Vazirgiannis M. Web mining for web personaliza-tion[ J ]. ACM Transactions on Intemet Technology, 2003, 3 (1):1 -27.
  • 2Kim D H, Im ll,Adam N, Afluri V, Bieber M, Yesha Y.A clickstream-based collaborative filtering personalization model: towards a better performance [ A ]. Proceedings of the Interna-tional Workshop on Web Information and Data Management [ C]. Washington:Association for Computing Machinery,2004. 88 -95.
  • 3Mobasher B,DAI H H, LUO T, Nakagawa M. Effective per-sonalizafion based on association rule discovery from web usage data[ A]. Proceedings of the Third International Workshop on Web Information and Data Management ( WIDM ) [ C ]. Atlanta .. Association for Computing Machinery, 2001.9 -15.
  • 4LI Yue-feng,ZHONG Ning. Mining ontology for automatically acquiring web user information needs[ J].IEEE Transactions on Knowledge and Data Engineering. 2006,18(4) :554 -568.
  • 5HUANG H, Wang R J. Acquiring user information needs for personalized search [ A ]. International Conference on Informa-tion Acquisition, ICIA 21307[ C]. Jeju: IEEE Computer Society, 2007.177 -181.
  • 6Maslow AH. Motivation and Personality[ M]. New York: Addi-son Wesley Longman, 1987.56 -61.
  • 7Wilson TD. Models in information behavior research[ J]. Jour-nal of Documentation, 1999,55(3) :249 -270.
  • 8Elizabeth F, Francis P. Maslow' s hierarchy of needs and ict: challenges of end-user adoption of digital life[J]. The Journal of The Institute of Telecommunications Professionals, 2008,2 (4) :23 -28.
  • 9LOU Htti-ling. Implementing the viterbi algodthm[J]. IEEE Signal Processing Magazine, 1995,12(5) :42 -52.
  • 10Sarwar B, Karypis G, Konstan J, Riedl J. Item-based collabo-rative filtering recommendation algorithms[ A]. Proceedings ofthe 10th International Conference on World Wide Web[ C]. Hong Kong: ACM Press, 2001.285 -295.

共引文献35

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部