Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124
In the published publication [...]
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| Format: | Article |
| Language: | English |
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2025-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/13/7/1079 |
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| author | Farhan Shehzad Abdur Rehman Kashif Javed Khalid A. Alnowibet Haroon A. Babri Hafiz Tayyab Rauf |
| author_facet | Farhan Shehzad Abdur Rehman Kashif Javed Khalid A. Alnowibet Haroon A. Babri Hafiz Tayyab Rauf |
| author_sort | Farhan Shehzad |
| collection | DOAJ |
| description | In the published publication [...] |
| format | Article |
| id | doaj-art-755fa4d4dd9f4db58e5bf68178d42e78 |
| institution | DOAJ |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-755fa4d4dd9f4db58e5bf68178d42e782025-08-20T03:08:55ZengMDPI AGMathematics2227-73902025-03-01137107910.3390/math13071079Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124Farhan Shehzad0Abdur Rehman1Kashif Javed2Khalid A. Alnowibet3Haroon A. Babri4Hafiz Tayyab Rauf5Department of Computer Science, University of Gujrat, Gujrat 50700, PakistanDepartment of Computer Science, University of Gujrat, Gujrat 50700, PakistanDepartment of Electrical Engineering, University of Engineering and Technology, Lahore 54890, PakistanStatistics and Operations Research Department, College of Science, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Electrical Engineering, University of Engineering and Technology, Lahore 54890, PakistanIndependent Researcher, Bradford BD8 0HS, UKIn the published publication [...]https://www.mdpi.com/2227-7390/13/7/1079n/a |
| spellingShingle | Farhan Shehzad Abdur Rehman Kashif Javed Khalid A. Alnowibet Haroon A. Babri Hafiz Tayyab Rauf Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124 Mathematics n/a |
| title | Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124 |
| title_full | Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124 |
| title_fullStr | Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124 |
| title_full_unstemmed | Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124 |
| title_short | Correction: Shehzad et al. Binned Term Count: An Alternative to Term Frequency for Text Categorization. <i>Mathematics</i> 2022, <i>10</i>, 4124 |
| title_sort | correction shehzad et al binned term count an alternative to term frequency for text categorization i mathematics i 2022 i 10 i 4124 |
| topic | n/a |
| url | https://www.mdpi.com/2227-7390/13/7/1079 |
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