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2018 | OriginalPaper | Chapter

Data Reduction Techniques Applied on Automatic Identification System Data

Authors : Claudia Ifrim, Iulian Iuga, Florin Pop, Manolis Wallace, Vassilis Poulopoulos

Published in: Semantic Keyword-Based Search on Structured Data Sources

Publisher: Springer International Publishing

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Abstract

In recent years, the constant increase of waterway traffic generates a high volume of Automatic Identification System data that require a big effort to be processed and analyzed in near real-time. In this paper, we analyze an Automatic Identification System data set and we propose a data reduction technique that can be applied on Automatic Identification System data without losing any important information in order to reduce it to a manageable size data set that can be further used for analysis or can be easily used for Automatic Identification System data visualization applications.

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Metadata
Title
Data Reduction Techniques Applied on Automatic Identification System Data
Authors
Claudia Ifrim
Iulian Iuga
Florin Pop
Manolis Wallace
Vassilis Poulopoulos
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-74497-1_2