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  • Clustering and Outlier Detection for Trajectory Stream Data by Cheqing Jin &. Aoying Zhou Jiali Mao book cover
  • Clustering and Outlier Detection for Trajectory Stream Data by Cheqing Jin &. Aoying Zhou Jiali Mao book cover
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Clustering and Outlier Detection for Trajectory Stream Data

by Cheqing Jin &. Aoying Zhou Jiali Mao

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Trajectory-stream analysis for smart transportation

$73.95 USD
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AlbakiReads Editorial

Trajectory-stream analysis for smart transportation

Centered on trajectory streams—location records that combine coordinates, speed, direction, and timestamps—this technical volume addresses clustering and outlier detection in the context of smart transportation. It situates these data problems within location-acquisition technologies used to track moving objects, connecting positional information over time with urban uses such as transportation systems and mobile delivery services. Its scope is more specialized than a broad introduction to spatial databases, mobile computing, or data mining: the emphasis is on transportation-oriented applications of trajectory data. With its focus on stream-based movement data and system concerns, the book presents a targeted reference for work at the intersection of data analytics and urban mobility.

Good fit for readers who enjoy

  • Advanced undergraduates studying data analytics, spatial data, or transportation systems
  • Graduate students and researchers working with trajectory-stream data
  • System developers building transportation-related data systems

Themes

Trajectory stream dataClusteringOutlier detectionSmart transportationLocation-based urban applications

Based on publisher information and book metadata.

Book overview

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.

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