Literature and Cultural Studies Through Data Mining.
Data Mining is one of the emerging subfields in computer science and statistics and focuses on finding patterns or relations between large datasets to solve problems and collect in-depth analysis. The use of data mining in literary and cultural datasets allows us to better understand and analyze cul...
| Publicado en: | IUP Journal of English Studies Vol. 16; no. 4; pp. 119 - 126 |
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| Autores principales: | , , |
| Formato: | Artículo |
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IUP Publications
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=154722903&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 154722903 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 09733728 AUDX jtl: IUP Journal of English Studies issn: 09733728 maglogo: N pubinfo: dt: Dec2021 vid: 16 iid: 4 pid: 31374 pub: IUP Publications artinfo: ui: 154722903 ppf: 119 ppct: 7 formats: fmt: @attributes: type: P size: 594KB tig: atl: Literature and Cultural Studies Through Data Mining. aug: au: Sharma, Swarnita Kumar, Sparsh Sharma, Ashish affil: Assistant Professor, Department of Humanities, Bhilai Institute of Technology, Durg, Chhattisgarh, India Student, B.Tech -- EEE, Bhilai Institute of Technology, Durg, Chhattisgarh, India Associate Professor, Department of Humanities, O.P. Jindal University, Raigarh, Chhattisgarh, India su: Data mining Cultural studies Computer science Infectious disease transmission Problem solving Literature sug: subj: Data mining Cultural studies Computer science Infectious disease transmission Problem solving Literature ab: Data Mining is one of the emerging subfields in computer science and statistics and focuses on finding patterns or relations between large datasets to solve problems and collect in-depth analysis. The use of data mining in literary and cultural datasets allows us to better understand and analyze cultural patterns and past events. This paper explores how the process is carried out and highlights the areas where it can be used to obtain vital information. The paper contains a few applications where data mining is used to collect comparative analysis of past events, understanding the spread of a disease which caused 500 million deaths worldwide, predicting the author of the world's oldest anthem based on the style of writing. Furthermore, the scope of data mining in humanities is discussed and it is hoped this paper will expand readers' thought and provoke ideas about the new and advanced methods used in the field of humanities to have greater insight into our past, culture, and literature. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of IUP Journal of English Studies is the property of IUP Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: IUP Journal of English Studies holder: IUP Publications dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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