Dimensions
DimensionsAdil, S.H. and Ebrahim, M. and Ali, S.S.A. and Raza, K. (2019) Identifying Trends in Data Science Articles using Text Mining. In: UNSPECIFIED.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
The research conducted in this paper presents a detailed analysis of the latest research publications related to Data Science using information retrieval and text mining approach. The database used in this study was created by collecting the latest research papers from well-reputed Journals and Conference proceedings published by IEEE and Springer. This comprehensive study shows the significance of information retrieval and text mining in the identification of key insight from textual documents. © 2019 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 0; Conference of 4th International Conference on Emerging Trends in Engineering, Sciences and Technology, ICEEST 2019 ; Conference Date: 10 December 2019 Through 11 December 2019; Conference Code:157536 |
| Uncontrolled Keywords: | Data Science; Data visualization; Information retrieval, Research papers; Textual documents, Text mining |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 10 Nov 2023 03:25 |
| Last Modified: | 10 Nov 2023 03:25 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/11008 |
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