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Cited by 16Advanced Database Systems and QueriesBig Data and Business IntelligenceData Mining Algorithms and Applications

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

Bouakkaz, Mustapha, Ouinten, Youcef, Loudcher, Sabine, Strekalova, Yulia·2017·International Journal of Information Management

Overview

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2017.06.005

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 47 references

Research works printed but not linked: 4

  1. Alcala-Fdez, 2009, Enhanced business intelligence using erocs, Journal of Multiple-Valued Logic and Soft Computing, 307
  2. Azabou, 2015, Diamon multidimensional model and aggregation operators for document olap proceedings, Decision Support Systems, 363
  3. BenMessaoud, 2004, Opac: A new olap operator based on a data mining method, Databases and Information Systems, 417
  4. El-Ghannam, F., El-Shishtawy, T., Multi-topic multi-document summarizer, arXiv preprint (2014) 1401–0640.

Cited by

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.