A research of moving objects trajectory collection based on data mining

作者：Li, Qingshan^*; Chen, Zhong

来源：Agro Food Industry Hi-Tech, 2017, 28(3): 1237-1241.

• Data mining
• moving objects
• trajectory

The moving object trajectory collection is one of the important social applications in information age, through moving object trajectory collection, it can promote transportation, monitoring, search and other technical development. The current moving object trajectory collection has made a certain development, and applied to the practice, but still needs to be promoted in the large data environment. In this paper, it studies the moving objects trajectory collection based on data mining, first, it introduces the technology of moving object trajectory data mining, make it known of the mobile object properties and movement. The data mining is built on moving object database, through the establishment of the database it applies data mining technology. On the basis of this, we can get effective information from database combined with data mining, finally, we realize the effective collection for trajectory through trajectory anomaly detection algorithm and abnormal clustering algorithm for moving objects.

• 出版日期2017-6
• 单位北京大学