TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT
The ability to record moving object data increases with the increasing speed of technological development, such as GPS and satellite. With the ease, the study of related data is also increasingly widespread. One study of moving object data is called trajectory pattern mining, which aims to find patt...
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id-itb.:246162017-10-09T10:28:08ZTRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT DEASY SAFRINA (NIM : 13513035), VANYA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24616 The ability to record moving object data increases with the increasing speed of technological development, such as GPS and satellite. With the ease, the study of related data is also increasingly widespread. One study of moving object data is called trajectory pattern mining, which aims to find patterns of object path data obtained from moving object data. <br /> <br /> <br /> The tool proposed in this Final Project is an analysis tool that can run various algorithms related to trajectory pattern mining to mine trajectory of moving objects. In addition, the user interface is also built to facilitate users to conduct interactive exploration and analysis of excavation results. The main purpose of the tool development is to produce an extensible tool so that a new algorithm related to trajectory pattern mining can be added to the tool. This ability is considered important because the study on related topics is still growing rapidly. <br /> <br /> <br /> Extensibility of the tool is obtained by analyzing the general process of various algorithms from the two categories of trajectory pattern mining, i.e. moving together pattern mining and trajectory clustering. In addition, an analysis of the data representation is also done to ensure that the tool can accommodate a fairly common type of data for exploration and analysis. The results of the analysis are then transformed into a design by utilizing the template method pattern to ensure extensibility. <br /> <br /> <br /> After the implementation phase, two tests are performed as follows. First, functional testing is performed by running some black-box testing scenarios. All test scenarios are successfully executed so that all functional requirements are successfully implemented. The second test is nonfunctional testing performed by implementing a new algorithm into the tool. The new algorithm has been successfully implemented and executed so that the extensibility of the tool is considered to be fulfilled. text |
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The ability to record moving object data increases with the increasing speed of technological development, such as GPS and satellite. With the ease, the study of related data is also increasingly widespread. One study of moving object data is called trajectory pattern mining, which aims to find patterns of object path data obtained from moving object data. <br />
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The tool proposed in this Final Project is an analysis tool that can run various algorithms related to trajectory pattern mining to mine trajectory of moving objects. In addition, the user interface is also built to facilitate users to conduct interactive exploration and analysis of excavation results. The main purpose of the tool development is to produce an extensible tool so that a new algorithm related to trajectory pattern mining can be added to the tool. This ability is considered important because the study on related topics is still growing rapidly. <br />
<br />
<br />
Extensibility of the tool is obtained by analyzing the general process of various algorithms from the two categories of trajectory pattern mining, i.e. moving together pattern mining and trajectory clustering. In addition, an analysis of the data representation is also done to ensure that the tool can accommodate a fairly common type of data for exploration and analysis. The results of the analysis are then transformed into a design by utilizing the template method pattern to ensure extensibility. <br />
<br />
<br />
After the implementation phase, two tests are performed as follows. First, functional testing is performed by running some black-box testing scenarios. All test scenarios are successfully executed so that all functional requirements are successfully implemented. The second test is nonfunctional testing performed by implementing a new algorithm into the tool. The new algorithm has been successfully implemented and executed so that the extensibility of the tool is considered to be fulfilled. |
format |
Final Project |
author |
DEASY SAFRINA (NIM : 13513035), VANYA |
spellingShingle |
DEASY SAFRINA (NIM : 13513035), VANYA TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT |
author_facet |
DEASY SAFRINA (NIM : 13513035), VANYA |
author_sort |
DEASY SAFRINA (NIM : 13513035), VANYA |
title |
TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT |
title_short |
TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT |
title_full |
TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT |
title_fullStr |
TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT |
title_full_unstemmed |
TRAJECTORY PATTERN MINING ANALYSIS TOOL DEVELOPMENT |
title_sort |
trajectory pattern mining analysis tool development |
url |
https://digilib.itb.ac.id/gdl/view/24616 |
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1822921289199779840 |