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    Transparent Peer Review By Scholar9

    A STUDY OF WEB MINING TECHNIQUES WITH ITS APPLICATIONS

    Abstract

    Web mining, an essential subset of data mining, encompasses the techniques and tools used to extract meaningful insights from vast amounts of web data. This study aims to explore the various facets of web mining, categorized into three primary types: Web Content Mining, Web Structure Mining, and Web Usage Mining. Each category offers unique methods for analyzing different aspects of web data, including the content of web pages, the link structure between pages, and the patterns of user interactions with websites. This study highlights the importance of web mining in improving user experience, optimizing website performance, and driving strategic business decisions. By examining the methodologies and applications associated with each type of web mining, this research underscores the potential of web mining to transform raw web data into valuable, actionable insights.

    Reviewer Photo

    Darshan Patel Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Darshan Patel Reviewer

    Hi

    Reviewer Photo

    Darshan Patel Reviewer

    Positive Comments:

    1. Clarity and Structure: The summary is well-structured, introducing the three primary types of web mining: Web Content Mining, Web Structure Mining, and Web Usage Mining. It effectively outlines the unique aspects and methodologies associated with each type.
    2. Comprehensiveness: It covers the fundamental areas of web mining and their applications, emphasizing the importance of these techniques in improving user experience, optimizing website performance, and aiding strategic business decisions. This gives a comprehensive picture of the study's scope.
    3. Significance: Highlighting the potential of web mining to transform raw web data into actionable insights underscores the practical significance and relevance of the study. This is a strong point that demonstrates the real-world applications of the research.
    4. Language and Terminology: The language used is appropriate for the target audience, and technical terms are used correctly.


    Negative Comments:

    1. Focus and Specificity: While the summary does a good job of outlining the general areas of web mining, it could benefit from a more specific mention of the methodologies and technologies used. Including examples or key tools could provide a clearer picture of the study's approach.
    2. Contribution to the Field: It indicates that the research will contribute to the existing body of knowledge by exploring various methodologies and applications. However, it would be helpful to briefly mention any novel insights or unique perspectives the study aims to provide.
    3. Language and Terminology: Ensuring that the terminology is accessible to readers who may not be specialists in the field could enhance its reach.


    Reviewer Photo

    Darshan Patel Reviewer

    19 Jul 2024 03:16 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    I recommend this paper for approval

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Darshan

    Darshan Patel

    More Detail

    Category Icon

    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJCRT - International Journal of Creative Research Thoughts External Link

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    p-ISSN

    Info Icon

    e-ISSN

    2320-2882

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