K-Means and J48 Algorithms to Categorize Student Research Abstracts
نویسندگان
چکیده
Text mining is a rapidly growing field in computer science that used to extract meaningful information from text data. This can be for various applications, such as categorizing research abstracts based on their content. study focuses the use of techniques. The goal was determine which algorithm more accurate abstracts. results indicated J48 outperformed K-Means terms accuracy. suggests effective method Additionally, findings provide insight into techniques specific fields, science. Overall, demonstrates potential analyzing and large volumes As continues grow, it likely applications will emerge, making easier valuable unstructured this improve efficiency accuracy techniques, particularly fields.
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ژورنال
عنوان ژورنال: International Journal Of Cyber And It Service Management
سال: 2023
ISSN: ['2797-1325', '2808-554X']
DOI: https://doi.org/10.34306/ijcitsm.v3i1.125