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The rapid expansion of the World Wide Web has led to an enormous increase in online data, creating the need for efficient techniques to extract valuable information. Web mining, a subset of data mining, focuses on discovering meaningful patterns, relationships, and trends from web resources such as web content, structure, and user behavior. This paper presents an overview of the web mining process and its applications using cloud computing. The process includes data collection, preprocessing, pattern discovery, and analysis, all of which are computationally intensive and require scalable infrastructure. Cloud computing provides an ideal platform by offering elastic storage, parallel processing, and cost-efficient resource management for large-scale web mining tasks. Applications of web mining supported by cloud technology include e-commerce personalization, search engine optimization, sentiment analysis, and online recommendation systems. The integration of web mining with cloud computing enhances data accessibility, processing speed, and analytical capabilities, enabling organizations to make smarter, data-driven decisions.
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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: N P PATNAIK M, nppatnaikm@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.
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