International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
Refining the Knowledge Discovery Process: Introducing a Data Management Phase for Ethical and Efficient Post- Analysis Data Handling
Author(s) | Jayakrishnan E. K, Manusankar C |
---|---|
Country | India |
Abstract | In the evolving landscape of Knowledge Discovery in Databases (KDD), the efficient management of data post-discovery emerges as a pivotal yet often overlooked consideration. This research proposes an innovative extension to the conventional KDD process by introducing a "Data Management" focused on the crucial decision-making regarding data deletion or data compression after knowledge has been extracted. This addition aims to address the multifaceted challenges of ethical considerations, security vulnerabilities, and storage inefficiencies that accompany large datasets in the post-analysis phase. Through a comprehensive exploration of the KDD process, including an analysis of existing methodologies and the integration of our proposed step, we elucidate the significant impact of data management on enhancing the ethical, secure, and efficient utilization of database information. Our findings highlight the necessity for a standardized approach to data retention or reduction, providing clear guidelines that balance organizational needs with legal and ethical standards. This paper not only contributes to the academic discourse on KDD process optimization but also offers practical insights for organizations striving to navigate the complexities of data management in an ethically responsible and resource-efficient manner. |
Keywords | Knowledge Discovery in Databases (KDD), Data Management, Data Deletion, Data Compression, Ethical Data Handling, Data Security, Data Storage Efficiency, Predictive Modeling, Data Retention Policies, Privacy Concerns in Data Science |
Field | Computer > Data / Information |
Published In | Volume 6, Issue 2, March-April 2024 |
Published On | 2024-03-23 |
Cite This | Refining the Knowledge Discovery Process: Introducing a Data Management Phase for Ethical and Efficient Post- Analysis Data Handling - Jayakrishnan E. K, Manusankar C - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.15438 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i02.15438 |
Short DOI | https://doi.org/gtn3xm |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.