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Conference Paper
A Design and Implementation of a Platform for Generating On-Demand Training Datasets
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- Authors
- Jooyoung Lee, Chunglae Cho, Hongseok Jeon, Seunghyun Yoon
- Issue Date
- 2023-10
- Citation
- International Conference on Communication and Computer Research (ICCR) 2023, pp.1-3
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper introduces a platform designed to process extensive network data gathered from various sources according to user-defined order specifications, resulting in the creation of training datasets. The proposed platform enables users to obtain their learning datasets through a service, eliminating the need to construct their own preprocessing systems when generating training datasets from raw data for AI/ML learning. Particularly, when dealing with substantial data volumes, users can efficiently process data through distributed processing on the service's provided big data platform. Additionally, enabling ondemand data processing makes it possible to generate datasets suitable for the learning models users intend to develop, thereby enhancing productivity during the training process of artificial intelligence models.