Difference between revisions of "Computational Transportation Science Methodology"
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| + | | style="padding:0.3em; font-family:Georgia; font-size:100%; border-bottom:2px solid #626262; border-left:2px #FFFFFF; background: #FFFFFF; text-align:left;" width="20%" | <font color="#3ADF00" size="3em">Methodolgy<br></font> | ||
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| + | [[File:CTS Methodology.jpg| 800px]] | ||
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| + | {| style="background-color:#FFFFFF ; color:#FFFFFF padding: 1px 0 0 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
| + | | style="padding:0.3em; font-family:Georgia; font-size:100%; border-bottom:2px solid #626262; border-left:2px #FFFFFF; background: #FFFFFF; text-align:left;" width="20%" | <font color="#3ADF00" size="3em">Tools used<br></font> | ||
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| + | For data preparation, descriptive statistics, we use SAS JMP Pro and SAS Enterprise Guide. We used both tools as we are familiar with SAS Enterprise Guide as the Analytics Foundation course uses SAS Enterprise Guide; therefore we are well versed in the tool. We use SAS JMP Pro as recommended by our project supervisor as a faster alternative. However, as we use both tools interchangeable as fit the task. | ||
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| + | For the data-mining portion, we will use SAS Enterprise Miner as the tool for time series data mining. | ||
| + | |||
| + | {| style="background-color:#FFFFFF ; color:#FFFFFF padding: 1px 0 0 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
| + | | style="padding:0.3em; font-family:Georgia; font-size:100%; border-bottom:2px solid #626262; border-left:2px #FFFFFF; background: #FFFFFF; text-align:left;" width="20%" | <font color="#3ADF00" size="3em">Deliverables<br></font> | ||
| + | |} | ||
| + | * A detailed report to explain the study and recommendations to improve MRT services | ||
| + | * A detailed description and interpretation of the analysis procedures that has been used in time series data mining. | ||
Revision as of 15:18, 25 February 2015
| Background | Data Source | Methodology |
|---|
| Methodolgy |
| Tools used |
For data preparation, descriptive statistics, we use SAS JMP Pro and SAS Enterprise Guide. We used both tools as we are familiar with SAS Enterprise Guide as the Analytics Foundation course uses SAS Enterprise Guide; therefore we are well versed in the tool. We use SAS JMP Pro as recommended by our project supervisor as a faster alternative. However, as we use both tools interchangeable as fit the task.
For the data-mining portion, we will use SAS Enterprise Miner as the tool for time series data mining.
| Deliverables |
- A detailed report to explain the study and recommendations to improve MRT services
- A detailed description and interpretation of the analysis procedures that has been used in time series data mining.
