https://stmcomputers.stmjournals.com/index.php/RTPC/issue/feed 2023-03-20T09:01:41+00:00 Open Journal Systems <p align="center"><strong>ISSN: 2393-8749</strong></p> <p align="center"><strong>Scientific Journal Impact Factor (SJIF):</strong> 6.112</p> <p><strong> </strong><strong> </strong><strong>Journal DOI no</strong>.: 10.37591/RTPC</p> https://stmcomputers.stmjournals.com/index.php/RTPC/article/view/451 2023-03-20T09:01:41+00:00 Krishna Khandelwal 2021pcecskrishna085@poornima.org Barkha Narang 2021pcecskrishna085@poornima.org Manisha Malpani 2021pcecskrishna085@poornima.org Monika Swami 2021pcecskrishna085@poornima.org Meenal Sharma 2021pcecskrishna085@poornima.org Manasvi Khandelwal 2021pcecskrishna085@poornima.org

<p>Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records trade. This carried out study realizes the principles of record mining and shows studies on cumulative uncertainty into data mining significantly boost new techniques for combined unpredictable management into records mining.</p>

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