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  • 标题:Effective Following Patterns Mining Scheme for the Movements of Objects
  • 本地全文:下载
  • 作者:Li Chen ; Lianggui Liu ; Bingxian Chen
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2016
  • 卷号:9
  • 期号:6
  • 页码:197-208
  • DOI:10.14257/ijgdc.2016.9.6.19
  • 出版社:SERSC
  • 摘要:Technological advances of location aware devices allow us to locate and track the moving objects accurately and in more complex environments. In order to derive valuable knowledge embedded in data from databases, many domestic and foreign scholars have done a lot of work. In this paper, we review the progress of patterns mining mainly in frequent pattern, periodic pattern and following pattern. And we provide a general perspective for studies on different patterns mining by reviewing and comparing the methods and algorithms in detail, providing a quick understanding of research to the worker and giving effective following patterns mining scheme for the movements of objects. The study on patterns mining in movements not only has a direct bearing on human life but also play an important part in environment protection, traffic and transportation, privacy and security and so on. So, the rest of this paper will present these specific applications and analyzed it in theory.
  • 关键词:Patterns mining; Frequent pattern; Periodic Pattern; Following pattern
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