Clustering And Outlier Detection For Trajectory Stream Data

As mobile devices continue becoming a larger part of our lives, the development of location acquisition technologies to track moving objects have focused the minds of researchers on issues ranging from longitude and latitude coordinates, speed, direction, and timestamping, as part of parameters needed to calculate the positional information and locations of objects, in terms of time and position in the form of trajectory streams. Recently, recent advances have facilitated various urban applications such as smart transportation and mobile delivery services.
Unlike other books on spatial databases, mobile computing, data mining, or computing with spatial trajectories, this book is focused on smart transportation applications.
This book is a good reference for advanced undergraduates, graduate students, researchers, and system developers working on transportation systems.

Product details

• Authors: Aoying Zhou, Cheqing Jin, Jiali Mao, Cheqing Jin & Aoying Zhou Jiali Mao, Cheqing Jin, Jiali Mao, Aoying Zhou
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 31.03.2020
• EAN: 9789811210457
• ISBN: 978-981-1210-45-7
• Series: East China Normal University S; East China Normal University Scientific Reports
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces; Data Mining, COMPUTERS / Databases / Data Mining, Trajectory Clustering; Trajectory Outlier Detection; Concept Drift, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / Data Analytics