Graph Analytics for Avian Science Data

Ami Pandat, Minal Bhise, Sanjay Srivastava

2023

Abstract

Data management solutions are becoming increasingly necessary as more Big Data applications are developed. One such area that deals with Big Data is Big Graphs. Complex relationships exist in graph-based applications. Analytics and data extraction are better solutions for understanding such complex applications. Data from Avian Science has shown significant growth in recent years. Graph analytics can be used to interpret complex scientific data and their relationships. This paper uses graph analytics to discuss the application of graph analytics in avian science. For the eBird Dataset, four Graph Analytics techniques were identified and implemented. These methods extract information about path patterns, node popularity, connections to other nodes, and clustering. The Dataset includes real-time data on bird observation and distribution. Each analytics technique extracts data from the birds’ observations. The findings show that graph analytics for avian science data can aid in predicting a wide range of crowd-sourced information. Additionally, the work can be expanded using machine learning methods.

Paper Citation

in Harvard Style

Pandat A., Bhise M. and Srivastava S. (2023). Graph Analytics for Avian Science Data. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-671-2, SciTePress, pages 194-201. DOI: 10.5220/0012186000003598

in Bibtex Style

@conference{kmis23,
author={Ami Pandat and Minal Bhise and Sanjay Srivastava},
title={Graph Analytics for Avian Science Data},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2023},
pages={194-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012186000003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - Graph Analytics for Avian Science Data
SN - 978-989-758-671-2
AU - Pandat A.
AU - Bhise M.
AU - Srivastava S.
PY - 2023
SP - 194
EP - 201
DO - 10.5220/0012186000003598
PB - SciTePress