Interactive machine learning by visualization: a small data solution
Machine learning algorithms and conventional data mining processes typically necessitate a substantial amount of data to train models tailored to the algorithms. Often, there is limited to no user feedback throughout the model construction phase. This approach, which hinges on leveraging "...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171952 |
| _version_ | 1811695706198507520 |
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| author | Beh, Jeff Zhiwen |
| author2 | Zheng Jianmin |
| author_facet | Zheng Jianmin Beh, Jeff Zhiwen |
| author_sort | Beh, Jeff Zhiwen |
| collection | NTU |
| description | Machine learning algorithms and conventional data mining processes typically
necessitate a substantial amount of data to train models tailored to the algorithms.
Often, there is limited to no user feedback throughout the model construction phase.
This approach, which hinges on leveraging "big data" for automated learning, can be
impractical in scenarios where gathering or processing data is arduous or costly, such
as in the context of clinical trials. Furthermore, domains like biomedical sciences can
greatly benefit from the incorporation of domain expertise during the model creation
process.
This report proposes a novel approach to interactive machine learning and visual data
mining. It involves a visual analytics framework that facilitates user engagement. This
report encompasses sections with code excerpts, screen captures, and elucidations of
the implementation procedure. The primary objective is to furnish comprehensive
documentation of the development trajectory |
| first_indexed | 2024-10-01T07:27:44Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/171952 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:27:44Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1719522023-11-17T15:38:10Z Interactive machine learning by visualization: a small data solution Beh, Jeff Zhiwen Zheng Jianmin School of Computer Science and Engineering ASJMZheng@ntu.edu.sg Engineering::Computer science and engineering::Information systems::Information interfaces and presentation Machine learning algorithms and conventional data mining processes typically necessitate a substantial amount of data to train models tailored to the algorithms. Often, there is limited to no user feedback throughout the model construction phase. This approach, which hinges on leveraging "big data" for automated learning, can be impractical in scenarios where gathering or processing data is arduous or costly, such as in the context of clinical trials. Furthermore, domains like biomedical sciences can greatly benefit from the incorporation of domain expertise during the model creation process. This report proposes a novel approach to interactive machine learning and visual data mining. It involves a visual analytics framework that facilitates user engagement. This report encompasses sections with code excerpts, screen captures, and elucidations of the implementation procedure. The primary objective is to furnish comprehensive documentation of the development trajectory Bachelor of Engineering (Computer Science) 2023-11-17T03:57:33Z 2023-11-17T03:57:33Z 2023 Final Year Project (FYP) Beh, J. Z. (2023). Interactive machine learning by visualization: a small data solution. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171952 https://hdl.handle.net/10356/171952 en SCSE22-1008 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Information systems::Information interfaces and presentation Beh, Jeff Zhiwen Interactive machine learning by visualization: a small data solution |
| title | Interactive machine learning by visualization: a small data solution |
| title_full | Interactive machine learning by visualization: a small data solution |
| title_fullStr | Interactive machine learning by visualization: a small data solution |
| title_full_unstemmed | Interactive machine learning by visualization: a small data solution |
| title_short | Interactive machine learning by visualization: a small data solution |
| title_sort | interactive machine learning by visualization a small data solution |
| topic | Engineering::Computer science and engineering::Information systems::Information interfaces and presentation |
| url | https://hdl.handle.net/10356/171952 |
| work_keys_str_mv | AT behjeffzhiwen interactivemachinelearningbyvisualizationasmalldatasolution |