loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shelernaz Azimi and Claus Pahl

Affiliation: Free University of Bozen-Bolzano, Bolzano, Italy

Keyword(s): Data-as-a-Service, DaaS, Machine Learning, Data Quality, Edge Cloud, Internet-of-Things, Traffic Management, Case Study.

Abstract: Data-as-a-Service (DaaS) solutions make raw source data accessible in the form of processable information. Machine learning (ML) allows to produce meaningful information and knowledge based on raw data. Thus, quality is a major concern that applies to raw data as well as to information provided by ML-generated models. At the core of the solution is a conceptual framework that links input data quality and the machine learned data service quality, specifically inferring raw data problems as root causes from observed data service deficiency symptoms. This allows to deduce the hidden origins of quality problems observable by users of DaaS offerings. We analyse the quality framework through an extensive case study from an edge cloud and Internet-of-Things-based traffic application. We determine quality assessment mechanisms for symptom and cause analysis in different quality dimensions.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.193.80.126

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Azimi, S. and Pahl, C. (2021). Continuous Data Quality Management for Machine Learning based Data-as-a-Service Architectures. In Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-510-4; ISSN 2184-5042, SciTePress, pages 328-335. DOI: 10.5220/0010509503280335

@conference{closer21,
author={Shelernaz Azimi. and Claus Pahl.},
title={Continuous Data Quality Management for Machine Learning based Data-as-a-Service Architectures},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER},
year={2021},
pages={328-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010509503280335},
isbn={978-989-758-510-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER
TI - Continuous Data Quality Management for Machine Learning based Data-as-a-Service Architectures
SN - 978-989-758-510-4
IS - 2184-5042
AU - Azimi, S.
AU - Pahl, C.
PY - 2021
SP - 328
EP - 335
DO - 10.5220/0010509503280335
PB - SciTePress