International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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A Review on Data Mining Issues, Solution & Techniques

Author(s) Nandani Sharma, Rajesh Boghey, Ritu Prasad
Country India
Abstract Data mining, the process of discovering patterns and knowledge from large datasets, has become a cornerstone of decision-making across various domains including business, healthcare, and finance. This paper reviews the current landscape of data mining applications, exploring the diverse techniques employed and the challenges faced. Key issues include data quality, privacy
concerns, and the scalability of mining algorithms in the face of increasingly large and complex datasets. We discuss solutions to these challenges, such as advancements in data cleaning methodologies, privacy-preserving techniques, and the development of scalable algorithms. Additionally, we provide a comprehensive overview of current data mining techniques, including
clustering, classification, and association rule mining, and evaluate their effectiveness in addressing real-world problems. The paper aims to provide understanding of both the potential and limitations of data mining, offering insights into future research directions and technological advancements needed to overcome existing hurdles.
Keywords Data Mining, Challenges, Issues, Solution, Classification, Clustering.
Field Engineering
Published In Volume 6, Issue 4, July-August 2024
Published On 2024-08-27
Cite This A Review on Data Mining Issues, Solution & Techniques - Nandani Sharma, Rajesh Boghey, Ritu Prasad - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.26654
DOI https://doi.org/10.36948/ijfmr.2024.v06i04.26654
Short DOI https://doi.org/gt8gwr
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