Regular Issue - 4
With the exponential growth of digital data in recent years, data mining has become an essential process for extracting meaningful patterns, trends, and knowledge from large datasets. This paper presents an analytical study of various data mining techniques and their applications across multiple domains. Key methods such as classification, clustering, regression, association rule mining, and anomaly detection are examined for their effectiveness and practical implementation. The study highlights how these techniques are applied in diverse fields including healthcare, finance, education, marketing, and cybersecurity to support data-driven decision-making. Furthermore, the paper discusses challenges such as data quality, scalability, privacy, and model interpretability that affect mining performance. Comparative analysis reveals that hybrid and ensemble-based approaches often enhance accuracy and efficiency in complex datasets. Overall, this study emphasizes the growing significance of data mining as a core component of modern analytics and its role in transforming raw data into valuable insights for intelligent decision support systems.
100
75
43
100
75
43
100
75
43
India
""
Copyright © 2020, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: SANKARA RAO LAMBURU, rao721983@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
No. of Readers
No. of Reaction
No. of Comments
No. of Downloads
Or share your Opinion
With the rapid increase in the number of vehicles, traffic congestion and road safety have become major challenges...
The gaming industry has witnessed rapid advancements with the integration of artificial intelligence (AI) and 3D graphics, creating...
The advancement of the Internet of Things (IoT) has revolutionized healthcare by enabling continuous, real-time patient monitoring and...
The widespread use of social networking platforms has significantly increased the risk of malicious activities, including the spread...
Impact Factor
Scopus & Web of Science under Evalution
Comments(0)