Effective Data Management Using Iterative Approach in Data Systems

J. David, G. Dhivya

2023

Abstract

This study explored memory management in large datasets from a user-centric perspective, filling a research gap often overlooked. While previous projects primarily aimed to improve data maintenance techniques, this research sought to scrutinize the process of data storage and management within these systems. The primary objective was to identify and analyze the issues encountered throughout the stages of the public tendering process and present potential solutions. The existing system faced application performance issues, bid submission delays, and complexities in bid evaluation, often due to a lack of clarity in the scope of work. In response, the proposed system introduces a user-friendly auction platform with enhanced data management capabilities, catering to sellers, bidders, and merchants. It streamlines sensitive data handling, bidding records, and transactions while employing a divide-and-iterate approach for improved efficiency. This study’s contribution lies in addressing the critical challenges in online bidding processes and offering innovative solutions for enhanced performance and data management, with future potential for blockchain and smart contract integration.

Paper Citation

in Harvard Style

David J. and Dhivya G. (2023). Effective Data Management Using Iterative Approach in Data Systems. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 294-297. DOI: 10.5220/0012614600003739

in Bibtex Style

@conference{ai4iot23,
author={J. David and G. Dhivya},
title={Effective Data Management Using Iterative Approach in Data Systems},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={294-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012614600003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Effective Data Management Using Iterative Approach in Data Systems
SN - 978-989-758-661-3
AU - David J.
AU - Dhivya G.
PY - 2023
SP - 294
EP - 297
DO - 10.5220/0012614600003739
PB - SciTePress