Kpark User Location Dataset
Contact: Erfan Davami, University of Central Florida (e.davami@gmail.com)
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Reference:
If you want to use the data for this project, please cite the following paper:
"Improving the Performance of Mobile Phone Crowdsourcing Applications" Erfan Davami and Gita Sukthankar. Proceedings of the International Conference on Autonomous Agents and Multiagent Systems 2015.
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There are two datasets: 1) a simulated dataset created using an agent-based model and 2) the real data of user transportation patterns on the UCF campus.

In order to access each dataset please execute the following files:

Simulated dataset:
Run the file simulated.sql on a Microsoft SQLSERVER database

Real dataset:
Run the file real.sql on a MYSQL database

Please keep in mind that you need the connection string of each database to connect the data to your code.

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In order to run the experiments on simulated data do the following:

- Download the TrustPrediction solution
- Open the .sln file with Microsoft Visual Studio
- Open the project 'TrustPredictionMain'
- Open the class 'SqlServerConnector' and replace the value of property 'connectionString' with the connection string of the MSSQL database that holds the simulated data.
- Run the project 'TrustPredictionMain'

In order to run the experiments on real data:

- Download the TrustPrediction solution
- Open the .sln file with Microsoft Visual Studio
- Open the project 'TrustPredictionMain'
- Open the class 'MySqlConnector' and replace the value of property 'connectionString' with the connection string of the MYSQL database that holds the real data.
- Run the project 'TrustPredictionRealData' and make sure the following is executed:
	>> var myDissertationCode = new DissertationMain(RunInParallel: false, useRealData:true);
        >> myDissertationCode.run();