Finding frequent trajectories by clustering and sequential pattern mining

Data mining is a powerful emerging technology that helps to extract hidden information from a huge volume of historical data. This paper is concerned with finding the frequent trajectories of moving objects in spatio-temporal data by a novel method adopting the concepts of clustering and sequential...

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Bibliographic Details
Main Authors: Arthur A. Shaw, N.P. Gopalan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2014-12-01
Series:Journal of Traffic and Transportation Engineering (English ed. Online)
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095756415302890