A Review of Machine Learning Applications in Web Data Mining


Year : 2025 | Volume : 03 | Issue : 01 | Page : 39-47
    By

    Hitesh Kumar Rinhayat,

  • Vishakha Tomar,

  • Krishna Nayak,

  1. Assistant Professor, Department of Computer Science and Engineering, Vidhyapeeth Institute of Science and Technology, Bhopal, Madhya Pradesh, India
  2. Assistant Professor, Department of Computer Science and Engineering, Vidhyapeeth Institute of Science and Technology, Bhopal, Madhya Pradesh, India
  3. Assistant Professor, Department of Computer Science and Engineering, Vidhyapeeth Institute of Science and Technology, Bhopal, Madhya Pradesh, India

Abstract

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The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses machine learning algorithms to efficiently handle both unstructured and structured data. Supervised, unsupervised, semi-supervised, and reinforcement- learning approaches are critical in solving a wide range of difficulties, including recommendation systems, sentiment analysis, fraud detection, and cybersecurity. Emerging concepts, such as deep learning, privacy-preserving data mining, and conversational AI, demonstrate ML’s potential to transform web interactions while maintaining ethical principles and user privacy. By incorporating these breakthroughs, web data mining serves as a foundation for smart decision-making and user-centric applications throughout the digital age.

Keywords: Machine learning, web data mining, deep learning, privacy-preserving, recommendation systems, natural language processing

[This article belongs to International Journal of Data Structure Studies ]

How to cite this article:
Hitesh Kumar Rinhayat, Vishakha Tomar, Krishna Nayak. A Review of Machine Learning Applications in Web Data Mining. International Journal of Data Structure Studies. 2025; 03(01):39-47.
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Hitesh Kumar Rinhayat, Vishakha Tomar, Krishna Nayak. A Review of Machine Learning Applications in Web Data Mining. International Journal of Data Structure Studies. 2025; 03(01):39-47. Available from: https://journals.stmjournals.com/ijdss/article=2025/view=0


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 14/02/2025
Accepted 16/02/2025
Published 10/03/2025
Publication Time 24 Days
76

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