The DOI matches its Crossref record; 13 of the 14 references it cites were found in a registry or an index.
A survey of machine learning techniques for food sales prediction
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“ML may be able to mitigate these issues of overproducing and/or overstocking goods by improving demand forecasting [12,797].”
From Tackling climate change with machine learning (2023) · cites this paper as [797]
Citations
Cites
A few useful things to know about machine learning
Domingos, P. (2012) · Communications of the ACM · doi:10.1145/2347736.2347755 · Cited by 3,326
Landwehr, N., Hall, M., & Frank, E. (2005) · Machine Learning · doi:10.1007/s10994-005-0466-3 · Cited by 1,218
A Simple Approach to Ordinal Classification
Frank, E., & Hall, M. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44795-4_13 · Cited by 606
Doganis, P., Alexandridis, A., Patrinos, P., & Sarimveis, H. (2005) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2005.03.056 · Cited by 196
Dynamic integration of classifiers for handling concept drift
Tsymbal, A., Pechenizkiy, M., Cunningham, P., & Puuronen, S. J. (2007) · Information Fusion · doi:10.1016/j.inffus.2006.11.002 · Cited by 195
Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty
van der Vorst, J. G. A. J., Beulens, A. J. M., de Wit, W., & van Beek, P. (1998) · International Transactions in Operational Research · doi:10.1111/j.1475-3995.1998.tb00131.x · Cited by 192
Multi-target regression with rule ensembles
Aho, T., Ženko, B., Džeroski, S., & Elomaa, T. (2012) · Journal of Machine Learning Research · Cited by 92
The study of a forecasting sales model for fresh food
Chen, C.-Y., Lee, W., Kuo, H., Chen, C., & Chen, K.-H. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.04.072 · Cited by 88
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
Žliobaitė, I., Bakker, J., & Pechenizkiy, M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.07.078 · Cited by 40
Food Sales Prediction with Meteorological Data — A Case Study of a Japanese Chain Supermarket
Liu, X., & Ichise, R. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-61845-6_10 · Cited by 29
Cited by
Sorted by citations
The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies
Hassoun, A., Aït‐Kaddour, A., Abu-Mahfouz, A. M. I., Rathod, N. B., Bader, F., Barba, F. J., Biancolillo, A., Cropotova, J., Galanakis, C. M., Jambrak, A. ., et al. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2034735 · Cited by 453
Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336
Application of Artificial Intelligence in Food Industry—a Guideline
Mavani, N. R., Ali, J. M., Othman, S., Hussain, M. A., Hashim, H., & Rahman, N. A. (2021) · Food Engineering Reviews · doi:10.1007/s12393-021-09290-z · Cited by 361
A survey on hyperparameters optimization algorithms of forecasting models in smart grid
Khalid, R., & Javaid, N. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102275 · Cited by 194
The Role of Machine Learning in Tribology: A Systematic Review
Paturi, U. M. R., Palakurthy, S. T., & Reddy, N. S. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09841-5 · Cited by 145
Metadata
- Authors
- Tsoumakas, G.
- Affiliations
- Aristotle University of Thessaloniki (GR)
- Corresponding author
- Tsoumakas, Grigorios
- ORCID
- Tsoumakas, Grigorios
- Venue
- Artificial Intelligence Review
- Published
- 2018-06-14
- Volume
- 52
- Issue
- 1
- Pages
- 441-447
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2808163457
- Cited by
- 134
- References
- 14
- Citations by year
- 2026: 3 · 2025: 15 · 2024: 34 · 2023: 31 · 2022: 21 · 2021: 19 · 2020: 8 · 2019: 3
- FWCI
- 5.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Artificial Intelligence Review (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- supermarket inventory management, stockouts, feature selection, forecasting accuracy evaluation, food industry
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
