This directory contains the analysis included in the PerCom 2014 paper. Unfortunately, the underlying dataset cannot be published because it contains privacy-sensitive location data. However, the corresponding author can run analyses based on the notebooks here against the raw data and return the results.
The analysis is represented in three notebooks:
mode_inference_percom_july_2014_data.ipynb
: base notebook. Since results are not included, can easily track changes to the analysis scripts. Needs access to the raw dataset to re-generate results.mode_inference_percom_july_2014_data_with_result.ipynb
: copy of previous notebook with results included. Since results are included, diffs are going to be very hard to parse, but it shows a lot more detailed results than the paper without needing access to the data.Project_scratch_mode_inference.ipynb
: original notebook used for paper. has bitrotted and cannot be run any more, but is useful as the source of the original results
The notebook must be run from the current directory because it uses some files that are relative to this directory.
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Install the e-mission server, including setting it up
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Set the home environment variable
$ export EMISSION_SERVER_HOME=<path_to_emission_server_repo>
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Set up this analysis
$ source setup.sh
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Start the notebook server
$ ../bin/em-jupyter-notebook.sh
After completing analysis, tear down
```
$ source teardown.sh
```