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Authors: Victor Chang 1 ; Yeshwanth Kumar Songala 2 ; Qianwen Ariel Xu 2 and Ben Shaw-Ching Liu 3

Affiliations: 1 Department of Operations and Information Management, Aston Business School, Aston University, Birmingham, U.K. ; 2 Cybersecurity, Information Systems and AI Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, U.K. ; 3 Department of Marketing, Lender School of Business Center, Quinnipiac University, Hamden, CT 06518 U.S.A.

Keyword(s): Smart Home, Ethics, Internet of Things, Data Analytics.

Abstract: There is new material regarding Neo4j algorithm questions posed in this report as well as where we did our due diligence research to resolve them. These results often provide details, including inquiries recorded after each monitoring period. Initially, a literature review supported the development of an initial data modeling, which was further provided as experimental analysis. By using Neo4j Graph Database, graph analytics can provide useful analysis.

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Paper citation in several formats:
Chang, V. ; Songala, Y. ; Xu, Q. and Liu, B. (2022). Scientific Data Analysis using Neo4j. In Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - FEMIB; ISBN 978-989-758-567-8; ISSN 2184-5891, SciTePress, pages 75-84. DOI: 10.5220/0011036700003206

@conference{femib22,
author={Victor Chang and Yeshwanth Kumar Songala and Qianwen Ariel Xu and Ben Shaw{-}Ching Liu},
title={Scientific Data Analysis using Neo4j},
booktitle={Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - FEMIB},
year={2022},
pages={75-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011036700003206},
isbn={978-989-758-567-8},
issn={2184-5891},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - FEMIB
TI - Scientific Data Analysis using Neo4j
SN - 978-989-758-567-8
IS - 2184-5891
AU - Chang, V.
AU - Songala, Y.
AU - Xu, Q.
AU - Liu, B.
PY - 2022
SP - 75
EP - 84
DO - 10.5220/0011036700003206
PB - SciTePress

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