Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Patterns Mining
  2.1. Frequent Patterns
  2.2. Periodic Patterns
  2.3. Following Patterns
  2.4. Other Patterns
 3. Applications and Future Works
 4. Conclusions
 Acknowledgments
 References

키워드

저자

• Li Chen [ School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China ]
• Lianggui Liu [ School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China ] Corresponding author
• Bingxian Chen [ School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China ]
• Huiling Jia [ School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China ]
• Yu Zhang [ School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605