Cited By
View all- Weber THußmann H(2022)Tooling for Developing Data-Driven Applications: Overview and OutlookProceedings of Mensch und Computer 202210.1145/3543758.3543779(66-77)Online publication date: 4-Sep-2022
Machine learning modeling assistance for non-expert developers
Pages 117 - 122
Abstract
Machine learning is one of crucial components for intelligent service development. This paper is concerned with assisting nonexpert developers to develop machine learning models. It introduces a modelling assistant tool that guides developers to make design choices in the course of machine learning model development process. The tool presents questions along with candidate answers about what to do at each phase and asks the developer to make choice of a candidate with additional associated information editing. For intelligent assistance, we have integrated and organized the knowledge for machine learning model development into the tool. The tool has been designed so as to support incremental integration of machine learning development knowledge. It supports such machine learning tasks as classification, regression, clustering, and so on for some well-known machine learning algorithms. It also partially generates program codes into which developers edit additional code, if needed.
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Index Terms
- Machine learning modeling assistance for non-expert developers
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Published In
September 2019
323 pages
ISBN:9781450368438
DOI:10.1145/3338840
- Conference Chair:
- Chih-Cheng Hung,
- General Chair:
- Qianbin Chen,
- Program Chairs:
- Xianzhong Xie,
- Christian Esposito,
- Jun Huang,
- Juw Won Park,
- Qinghua Zhang
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Publication History
Published: 24 September 2019
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- Research-article
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- National Research Foundation of Korea
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RACS '19
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RACS '19: International Conference on Research in Adaptive and Convergent Systems
September 24 - 27, 2019
Chongqing, China
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RACS '19 Paper Acceptance Rate 56 of 188 submissions, 30%;
Overall Acceptance Rate 393 of 1,581 submissions, 25%
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View all- Weber THußmann H(2022)Tooling for Developing Data-Driven Applications: Overview and OutlookProceedings of Mensch und Computer 202210.1145/3543758.3543779(66-77)Online publication date: 4-Sep-2022
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