UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 3 Issue 3
March-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701B53


Registration ID:
542029

Page Number

356-360

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Title

UNVEILING PATTERNS IN DATA: AN EXPEDITION THROUGH DATA MINING TECHNIQUES

Authors

Abstract

Organizations confront the difficult task of gleaning relevant insights from large and complicated datasets in today's data-rich environment. To address this problem, data mining emerges as a potent toolkit that provides methods for locating links, patterns, and trends that are concealed inside the data. An overview of data mining is given in this work, with particular attention on its foundational ideas, methods, and uses. The fundamental ideas of data mining, such as supervised and unsupervised learning, classification, clustering, regression analysis, anomaly detection, and sequential pattern mining, are first covered by the author. Every methodology is covered in great detail, emphasizing its foundational ideas, working methods, and practical applications. Additionally, the author looks at the many uses of data mining in a variety of industries, including marketing, banking, healthcare, and telecommunications. To make well-informed decisions and obtain a competitive advantage in the fast-paced markets of today, data mining is essential for anything from recognizing fraudulent transactions to anticipating client attrition. The author demonstrates how data mining techniques enable businesses to improve decision-making, streamline operations, and extract useful insights that eventually boost productivity, profitability, and customer happiness. This paper concludes by highlighting the importance of data mining as a key instrument for obtaining insightful knowledge from data. Organizations can obtain deeper insights into their data and stimulate innovation and growth in the digital age by utilizing sophisticated algorithms and procedures to uncover hidden patterns and trends in their data.

Key Words

Anomaly detection, Apriori, Association Rule Mining, Classification, Clustering, Data mining

Cite This Article

"UNVEILING PATTERNS IN DATA: AN EXPEDITION THROUGH DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.356-360, March-2016, Available :http://www.jetir.org/papers/JETIR1701B53.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"UNVEILING PATTERNS IN DATA: AN EXPEDITION THROUGH DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp356-360, March-2016, Available at : http://www.jetir.org/papers/JETIR1701B53.pdf

Publication Details

Published Paper ID: JETIR1701B53
Registration ID: 542029
Published In: Volume 3 | Issue 3 | Year March-2016
DOI (Digital Object Identifier):
Page No: 356-360
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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