The DOI matches its Crossref record; 45 of the 47 references it cites were found in a registry or an index.
Textual aggregation approaches in OLAP context: A survey
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“Bouakkaz, Ouinten, Loudcher, and Strekalova (2017) compare several similarity measures for textual analysis, and find that the k-means approach produced the best results in their experiment.”
From Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda (2019) · cites this paper as Bouakkaz et al., 2017
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Cited by
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628
Ebermann, C., Selisky, M., & Weibelzahl, S. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2126812 · Cited by 54
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Metadata
- Authors
- Bouakkaz, M., Ouinten, Y., Loudcher, S., & Strekalova, Y.
- Affiliations
- Amar Telidji University of Laghouat (DZ)
- Université Lumière Lyon 2 (FR)
- University of Florida (US)
- Corresponding author
- Bouakkaz, Mustapha
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 37
- Issue
- 6
- Pages
- 684-692
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2731887386
- Cited by
- 16
- References
- 47
- Citations by year
- 2025: 1 · 2024: 1 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 2
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- International Journal of Information Management (publishedVersion)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Keywords
- OLAP, text mining, data cubes, decision support system, text analysis, data warehouse, classification framework
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