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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
VISUALIZATION TECHNIQUES IN BIG DATA MINING FOR ENHANCING DATA EXPLORATION AND ANALYSIS
Authors
A P Tamilselvan, Dr.S.P.Priyadharshini
Keywords
Big Data Mining, Machine Learning, Data Analytics, Applications, Transforming data
Abstract
This paper provides an overview of big data mining techniques and their diverse applications across various domains. Big data mining involves extracting valuable insights from large datasets using advanced analytical methods such as machine learning and data mining algorithms. Applications span healthcare, finance, cybersecurity, and more, enhancing decision-making processes and improving operational efficiency. Key techniques include classification, clustering, association rule mining, and anomaly detection, tailored to handle the complexities of massive datasets. This overview aims to highlight the importance of big data mining in modern data-driven environments, emphasizing its role in transforming data into actionable knowledge.
IJCRT's Publication Details
Unique Identification Number - IJCRT2407840
Paper ID - 266579
Page Number(s) - h577-h588
Pubished in - Volume 12 | Issue 7 | July 2024
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
A P Tamilselvan, Dr.S.P.Priyadharshini, "VISUALIZATION TECHNIQUES IN BIG DATA MINING FOR ENHANCING DATA EXPLORATION AND ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 7, pp.h577-h588, July 2024, Available at :http://www.ijcrt.org/papers/IJCRT2407840.pdf
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Volume 14 | Issue 3
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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