Abstract:
We introduce a set of tools that normalize, regulate, unify and structure the notion, practices and design of data preprocessing. The design tools enhance the reproducibi...Show MoreMetadata
Abstract:
We introduce a set of tools that normalize, regulate, unify and structure the notion, practices and design of data preprocessing. The design tools enhance the reproducibility of data preprocessing plans and pipelines and help achieve quality assurance while reducing the complexity of the phase. There is a synergy between the proposed design toolset and the enablers of Internet of Things Applications (IoT) as the former provide preprocessing pipelines that effectively address the challenges of distributed edge systems including limited resources and data privacy, biases and ownership. Our empirical results highlight the impact of the proposed toolset in not only obtaining quality data but also improving prediction accuracy and reducing the consumption of resources (e.g., energy) within an IoT context.
Date of Conference: 17-20 December 2022
Date Added to IEEE Xplore: 26 January 2023
ISBN Information: