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2020 | OriginalPaper | Chapter

Data Analysis in Social Networks Based on Similarity Measurements on Multi-attribute Trajectories

Authors : K. Monica Rachel, D. C. Joy Winnie Wise, K. Raja Sundari, N. Raja Priya

Published in: Intelligent Communication Technologies and Virtual Mobile Networks

Publisher: Springer International Publishing

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Abstract

The headway of overall arranging development, sensor systems and versatile terminal, an extensive number obviously information are amassed. Bearing information contains an abundance of information, including directionality, time game-plan, and other outside expressive qualities. The examination obviously likeness estimation is the prelude of heading information the board and excavation, which acknowledge a fundamental occupation in bearing getting ready. Most course likeness work just spotlights on the dimensional-normal highlights. The augmentation of multi-credits to the heading changes the course furtiveness. MELD (Most extraordinary Least Direction Separation) and TLDS (Total of least Direction Separation) and inspect the association among the direction-common furtiveness and scholarly similarity. The headings including the zones, accurate location, and obvious characters are called multi-qualities bearings.

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Metadata
Title
Data Analysis in Social Networks Based on Similarity Measurements on Multi-attribute Trajectories
Authors
K. Monica Rachel
D. C. Joy Winnie Wise
K. Raja Sundari
N. Raja Priya
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-28364-3_53