The tradeoff between data granularity and storage costs
In the increasinglytechnology-dependent world, data is one of the key strategic resources for organizations. Often, the challengedecision-makers face is to determine how much data to collect and store. In this thesis, this challenge is studied in the context of a collection of mobile signaling data...
Main Author: | |
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Format: | masterThesis |
Language: | eng |
Published: |
2021
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Subjects: | |
Online Access: | http://hdl.handle.net/10362/118909 |
Country: | Portugal |
Oai: | oai:run.unl.pt:10362/118909 |
Summary: | In the increasinglytechnology-dependent world, data is one of the key strategic resources for organizations. Often, the challengedecision-makers face is to determine how much data to collect and store. In this thesis, this challenge is studied in the context of a collection of mobile signaling data for studying tourists’ behavioral patterns.The objective is to analyze to what extent can individual trajectories be reconstructed if only a fraction of the original location data is preserved, providing insights about the tradeoff between the volume of data available and the accuracy of reconstructed paths. |
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