《Tak2016A review on time series data mining》.pdfVIP

《Tak2016A review on time series data mining》.pdf

  1. 1、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。。
  2. 2、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  3. 3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
  4. 4、该文档为VIP文档,如果想要下载,成为VIP会员后,下载免费。
  5. 5、成为VIP后,下载本文档将扣除1次下载权益。下载后,不支持退款、换文档。如有疑问请联系我们
  6. 6、成为VIP后,您将拥有八大权益,权益包括:VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
  7. 7、VIP文档为合作方或网友上传,每下载1次, 网站将根据用户上传文档的质量评分、类型等,对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档
查看更多
《Tak2016A review on time series data mining》.pdf

Engineering Applications of Artificial Intelligence 24 (2011) 164–181 Contents lists available at ScienceDirect Engineering Applications of Artificial Intelligence journal homepage: /locate/engappai A review on time series data mining Tak-chung Fu Department of Computing, Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong a r t i c l e i n f o a b s t r a c t Article history: Time series is an important class of temporal data objects and it can be easily obtained from scientific Received 19 February 2008 and financial applications. A time series is a collection of observations made chronologically. The nature Received in revised form of time series data includes: large in data size, high dimensionality and necessary to update 14 March 2010 continuously. Moreover time series data, which is characterized by its numerical and continuous Accepted 4 September 2010 nature, is always considered as a whole instead of individual numerical field. The increasing use of time series data has initiated a great deal of research and development attempts in the field of data mining. Keywords: The abundant research on time series data mining in the last decade could hamper the entry of Time series data mining interested researchers, due to its complexity. In this paper, a comprehensive revision on the existing Representation time series data mining resea

文档评论(0)

wgvi + 关注
实名认证
文档贡献者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档