The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Prescriptive Analytics for Big Data
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Adomavicius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,310
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
From Predictive to Prescriptive Analytics
Bertsimas, D., & Kallus, N. (2020) · Management Science · doi:10.1287/mnsc.2018.3253 · Cited by 784
Data, information and analytics as services
Delen, D., & Demirkan, H. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.05.044 · Cited by 425
(2012) · Cited by 311
Using ‘Big Data’ for analytics and decision support
Power, D. (2014) · Journal of Decision System · doi:10.1080/12460125.2014.888848 · Cited by 134
Data Analytics: Hyped Up Aspirations or True Potential?
Banerjee, A., Bandyopadhyay, T., & Acharya, P. (2013) · Vikalpa: The Journal for Decision Makers · doi:10.1177/0256090920130401 · Cited by 112
Data is dead... without what-if models
Haas, P. J., Maglio, P. P., Selinger, P. G., & Tan, W.-C. (2011) · Proceedings of the VLDB Endowment · doi:10.14778/3402755.3402802 · Cited by 62
Real-World Data Mining: Applied Business Analytics and Decision Making
Delen, D. (2014) · Medical Entomology and Zoology · Cited by 57
Research works printed but not linked: 4
- Basu, A.: Five pillars of prescriptive analytics success. Anal. Mag. 8, 8–12 (2013)
- Eckerson, W.W.: Predictive analytics. Extending the value of your data warehousing investment. TDWI Best Pract. Report 1, 1–36 (2007)
- Evans, J.R., Lindner, C.H.: Business analytics: the next frontier for decision sciences. Decis. Line 43(2), 4–6 (2012)
- Schniederjans, M.J., Schniederjans, D.G., Starkey, C.M.: Business Analytics Principles, Concepts, and Applications: What, Why, and How. Pearson Education, Inc. (2014). ISBN-10: 0-13-355218-7 and ISBN-13: 978-0-13-355218-8
Cited by
Prescriptive analytics: Literature review and research challenges
Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.003 · Cited by 501
Metadata
- Authors
- Soltanpoor, R., & Sellis, T.
- Affiliations
- RMIT University (AU)
- Swinburne University of Technology (AU)
- Corresponding author
- Soltanpoor, Reza
- ORCID
- Sellis, Timos
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 245-256
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2522858496
- Cited by
- 82
- References
- 17
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 11 · 2023: 9 · 2022: 11 · 2021: 13 · 2020: 6 · 2019: 9 · 2018: 3 · 2017: 5
- FWCI
- 9.76
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- prescriptive analytics, big data, business analytics, decision recommendation, action sequences, risk mitigation, descriptive analytics, predictive analytics
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prescriptive Analytics for Big Data. https://app.cochat.ai/papers/10.1007/978-3-319-46922-5_19
- The paper
- Soltanpoor, R., & Sellis, T. (2016). Prescriptive Analytics for Big Data. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-46922-5_19
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.
