https://stmcomputers.stmjournals.com/index.php/RTPC <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> STM JOURNALS ( Consortium eLearning Network Pvt Ltd) en-US RECENT TRENDS IN PARALLEL COMPUTING 2393-8749 https://stmcomputers.stmjournals.com/index.php/RTPC/article/view/451 <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> Krishna Khandelwal Barkha Narang Manisha Malpani Monika Swami Meenal Sharma Manasvi Khandelwal Copyright (c) 2022 RECENT TRENDS IN PARALLEL COMPUTING 2023-03-15 2023-03-15 9 3