Visual Analysis of Oceanic Multivariate Species Time-Series Data
dc.contributor.author | Vegu, Shree Rama Kamal Kumar | |
dc.contributor.copyright-release | Not Applicable | en_US |
dc.contributor.degree | Master of Computer Science | en_US |
dc.contributor.department | Faculty of Computer Science | en_US |
dc.contributor.ethics-approval | Received | en_US |
dc.contributor.external-examiner | N/A | en_US |
dc.contributor.graduate-coordinator | Dr. Michael McAllister | en_US |
dc.contributor.manuscripts | Not Applicable | en_US |
dc.contributor.thesis-reader | Dr. Derek Reilly | en_US |
dc.contributor.thesis-reader | Dr. Joseph Malloch | en_US |
dc.contributor.thesis-supervisor | Dr. Stephen Brooks | en_US |
dc.date.accessioned | 2023-07-21T13:50:51Z | |
dc.date.available | 2023-07-21T13:50:51Z | |
dc.date.defence | 2023-06-26 | |
dc.date.issued | 2023-07-20 | |
dc.description.abstract | The goal of this project is to provide a data visualization dashboard which allows users to interactively analyze sequential movement patterns and rules of sharks and fishes. This will enhance the ability of oceanic experts to make educated decisions in order to minimize risks for marine ecosystems. The dashboard will present oceanic data from detection stations in Nova Scotia’s Bay of Fundy, which allows researchers to discover patterns in the movements of oceanic species. In order to determine the efficacy of the interactive dashboard, domain experts performed an evaluation using exploratory methods. This evaluation compared the dashboard’s ability to fulfill research questions and goals against the existing tools, and determined if this application would be more beneficial for existing practitioners, based on the feedback received and insights gained. | en_US |
dc.identifier.uri | http://hdl.handle.net/10222/82719 | |
dc.language.iso | en | en_US |
dc.subject | Visual Analytics | en_US |
dc.subject | Data Mining | en_US |
dc.subject | Sequential Pattern Mining | en_US |
dc.subject | Sequential Rule Mining | en_US |
dc.subject | Time-Series Data Visualization | en_US |
dc.subject | Vertical Mining of Maximal Sequential Patterns | en_US |
dc.subject | Data Visualization | en_US |
dc.subject | Geo-Spatial Time-Varying Data | en_US |
dc.title | Visual Analysis of Oceanic Multivariate Species Time-Series Data | en_US |
dc.type | Thesis | en_US |
Files
Original bundle
1 - 4 of 4
Loading...
- Name:
- VeguShreeRamaKamalKumar2023.pdf
- Size:
- 5.61 MB
- Format:
- Adobe Portable Document Format
- Description:
- Kamal Dalhousie Thesis
No Thumbnail Available
- Name:
- KamalThesisPresentation2023.pptx
- Size:
- 3.8 MB
- Format:
- Microsoft Powerpoint XML
- Description:
- Kamal Dalhousie Thesis Presentation
No Thumbnail Available
- Name:
- VisualizationOfSharksAndFishesBasedOnDetections2023.mp4
- Size:
- 86.76 MB
- Format:
- Unknown data format
- Description:
- Visualization through Detections Demo
No Thumbnail Available
- Name:
- VisualizationOfSharksAndFishesBasedOnMiningAlgorithmsThroughPatternsAndRules2023.mp4
- Size:
- 201.55 MB
- Format:
- Unknown data format
- Description:
- Visualization through Patterns and Rules Demo
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: