Scientific Data Analysis using Neo4j

Victor Chang, Yeshwanth Songala, Qianwen Xu, Ben Liu

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: FEMIB, ISBN 978-989-758-567-8, pages 75-84. DOI: 10.5220/0011036700003206

in Bibtex Style

@conference{femib22,
author={Victor Chang and Yeshwanth Songala and Qianwen Xu and Ben Liu},
title={Scientific Data Analysis using Neo4j},
booktitle={Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,},
year={2022},
pages={75-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011036700003206},
isbn={978-989-758-567-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - Volume 1: FEMIB,
TI - Scientific Data Analysis using Neo4j
SN - 978-989-758-567-8
AU - Chang V.
AU - Songala Y.
AU - Xu Q.
AU - Liu B.
PY - 2022
SP - 75
EP - 84
DO - 10.5220/0011036700003206