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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Main Author: DEASY SAFRINA (NIM : 13513035), VANYA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/24616
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:24616
spelling 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
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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.
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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