The DOI matches its OpenAlex record; 3 of the 3 references it cites were found in a registry or an index.
Business intelligence: data mining and optimization for decision making
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Text classification from labeled and unlabeled documents using EM
Nigam, K., Mccallum, A. K., Thrun, S., & Mitchell, T. (2000) · Machine Learning · doi:10.1023/a:1007692713085 · Cited by 2,736
Cited by
MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1
Abbasi, A., Albrecht, C., Vance, A., & Hansen, J. (2012) · MIS Quarterly · doi:10.2307/41703508 · Cited by 298
Cluster Analysis of Smart Metering Data: An Implementation in Practice
Flath, C., Nicolay, D., Conte, T., van Dinther, C., & Filipova-Neumann, L. (2012) · Business & Information Systems Engineering · doi:10.1007/s12599-011-0201-5 · Cited by 137
Margarito, J., Helaoui, R., Bianchi, A., Sartor, F., & Bonomi, A. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2471094 · Cited by 118
Metadata
- Authors
- Vercellis, C., Ahmadi, A., & Mohebi, A.
- Published
- 2016-01-01
- OpenAlex
- W599503780
- Cited by
- 398
- References
- 3
- FWCI
- 61.16
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Business intelligence: data mining and optimization for decision making. https://app.cochat.ai/papers/10.5281/zenodo.13983826
- The paper
- Vercellis, C., Ahmadi, A., & Mohebi, A. (2016). Business intelligence: data mining and optimization for decision making. https://doi.org/10.5281/zenodo.13983826
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.