Modern Approaches to Uncertain Database Exploration from Categorizing Data to Advanced Mining Solutions

Main Article Content

Sridevi Malipatil, T  Hanumantha Reddy

Abstract

In today's digitized era, the ubiquity of data from diverse sources has introduced unique challenges in database management, notably the issue of data uncertainty. Uncertainty in databases can arise from various factors – sensor inaccuracies, human input errors, or inherent vagueness in data interpretation. Addressing these challenges, this research delves into modern approaches to uncertain database exploration. The paper begins by exploring methods for categorizing data based on certainty levels, emphasizing the importance and mechanisms to distinguish between certain and uncertain data. The discussion then transitions to highlight pioneering mining solutions that enhance the utility of uncertain databases. By integrating state-of-the-art techniques with traditional database management principles, this study aims to bolster the reliability, efficiency, and versatility of data mining in uncertain contexts. The implications of these methods, both theoretically and in real-world applications, hold the potential to redefine how uncertain data is perceived and utilized in diverse sectors, from healthcare to finance.

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How to Cite
Sridevi Malipatil, et al. (2023). Modern Approaches to Uncertain Database Exploration from Categorizing Data to Advanced Mining Solutions. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 2118–2134. https://doi.org/10.17762/ijritcc.v11i10.8897
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Articles
Author Biography

Sridevi Malipatil, T  Hanumantha Reddy

Sridevi Malipatil1*, T  Hanumantha Reddy2 

1Assistant Professor, Department of computer science & Engineering, Rao Bahadur Y Mahabaleswarappa Engineering College,

Ballari-583104, Karnataka State, India.

 *e-mail: sridevi.siddu@gmail.com

2Professor, Department of computer science & Engineering, Rao Bahadur Y Mahabaleswarappa Engineering College,

Ballari-583104, Karnataka State, India.

e-mail: thrbly@rymec.in