IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Mining Partners in Trajectories

Mining Partners in Trajectories
View Sample PDF
Author(s): Diego Vilela Monteiro (INPE, São José dos Campos, Brazil), Rafael Duarte Coelho dos Santos (INPE, São José dos Campos, Brazil) and Karine Reis Ferreira (INPE, São José dos Campos, Brazil)
Copyright: 2020
Volume: 16
Issue: 1
Pages: 17
Source title: International Journal of Data Warehousing and Mining (IJDWM)
Editor(s)-in-Chief: David Taniar (Monash University, Australia)
DOI: 10.4018/IJDWM.2020010102

Purchase

View Mining Partners in Trajectories on the publisher's website for pricing and purchasing information.

Abstract

Spatiotemporal data is everywhere, being gathered from different devices such as Earth Observation and GPS satellites, sensor networks and mobile gadgets. Spatiotemporal data collected from moving objects is of particular interest for a broad range of applications. In the last years, such applications have motivated many pieces of research on moving object trajectory data mining. In this article, it is proposed an efficient method to discover partners in moving object trajectories. Such a method identifies pairs of trajectories whose objects stay together during certain periods, based on distance time series analysis. It presents two case studies using the proposed algorithm. This article also describes an R package, called TrajDataMining, that contains algorithms for trajectory data preparation, such as filtering, compressing and clustering, as well as the proposed method Partner.

Related Content

Fatma Abdelhedi, Amal Ait Brahim, Gilles Zurfluh. © 2021. 14 pages.
Sami Belkacem, Kamel Boukhalfa. © 2021. 24 pages.
Abdelilah Balamane. © 2021. 18 pages.
I.Jeena Jacob, Betty Paulraj, P. Ebby Darney, Hoang Viet Long, Tran Manh Tuan, Harold Robinson Yesudhas, Vimal Shanmuganathan, Golden Julie Eanoch. © 2021. 17 pages.
Neha Gupta, Sakshi Jolly. © 2021. 18 pages.
Christie I. Ezeife, Vignesh Aravindan, Ritu Chaturvedi. © 2020. 21 pages.
Diego Vilela Monteiro, Rafael Duarte Coelho dos Santos, Karine Reis Ferreira. © 2020. 17 pages.
Body Bottom