TODMIS: Mining Communities from Trajectories

TODMIS: Mining Communities from Trajectories

Existing algorithms for trajectory-based clustering usually rely on simplex representation and a single proximity-related distance (or similarity) measure. Consequently, additional information markers (e.g., social interactions or the semantics of the spatial layout) are usually ignored, leading to...

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Bibliographic Details
Main Authors: LIU, Siyuan, WANG, Shuhui, JAYARAJAH, Kasthuri, MISRA, Archan, KRISHNAN, Rammaya
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
Trajectory community discovery
multiple information
semantic information
Software Engineering
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/1958
https://ink.library.smu.edu.sg/context/sis_research/article/2957/viewcontent/TODMIS_pv_oa.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1958
https://ink.library.smu.edu.sg/context/sis_research/article/2957/viewcontent/TODMIS_pv_oa.pdf

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