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Keyword

prescriptive analytics

Description: A form of data analytics that uses models and optimization to recommend actions for achieving specified goals or outcomes.
Wikidata ID: wiki/Q7240900
OpenAlex ID: keywords/prescriptive-analytics
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
2018 · Yi Wang, Qixin Chen, et al. · IEEE Transactions on Smart Grid · 1,381
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A progress report on the training of probability assessors
1982 · Marc Alpert, Howard Raiffa · Cambridge University Press eBooks · 859
From Predictive to Prescriptive Analytics
2019 · Dimitris Bertsimas, Nathan Kallus · Management Science · 779
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Machine learning and AI in marketing – Connecting computing power to human insights
2020 · Liye Ma, Baohong Sun · International Journal of Research in Marketing · 600
Impact of business analytics and enterprise systems on managerial accounting
2017 · Deniz Appelbaum, Alexander Kogan, et al. · International Journal of Accounting Information Systems · 559
Big Data and Analytics in the Modern Audit Engagement: Research Needs
2017 · Deniz Appelbaum, Alexander Kogan, et al. · Auditing A Journal of Practice & Theory · 513
Prescriptive analytics: Literature review and research challenges
2019 · Katerina Lepenioti, Alexandros Bousdekis, et al. · International Journal of Information Management · 501
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A review of deep learning with special emphasis on architectures, applications and recent trends
2020 · Saptarshi Sengupta, Sanchita Basak, et al. · Knowledge-Based Systems · 458
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Human resources analytics: A systematization of research topics and directions for future research
2021 · Alessandro Margherita · Human Resource Management Review · 331
COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions
2020 · Jie Sheng, Joseph Amankwah‐Amoah, et al. · British Journal of Management · 321
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A healthcare monitoring system using random forest and internet of things (IoT)
2019 · Pavleen Kaur, Ravinder Kumar, et al. · Multimedia Tools and Applications · 318
Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming
2020 · Dana Pessach, Gonen Singer, et al. · Decision Support Systems · 303
Essential ingredients for the implementation of Quality 4.0
2020 · Michael Sony, Jiju Antony, et al. · The TQM Journal · 292
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A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining
2018 · Md Saiful Islam, Md Mahmudul Hasan, et al. · Healthcare · 268
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Simulation optimization: A comprehensive review on theory and applications
2004 · EYLEM TEKIN, IHSAN SABUNCUOGLU · IIE Transactions · 265
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Learning analytics dashboard: a tool for providing actionable insights to learners
2022 · Teo Susnjak, Gomathy Suganya Ramaswami, et al. · International Journal of Educational Technology in Higher Education · 260
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Chapter 4 Maritime Transportation
2006 · Marielle Christiansen, Kjetil Fagerholt, et al. · Handbooks in operations research and management science · 256
Supply chain analytics
2014 · Gilvan C. Souza · Business Horizons · 246
Research challenges and opportunities in business analytics
2018 · Dursun Delen, Sudha Ram · Journal of Business Analytics · 227
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The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review
2021 · Ahmet Selcuk Yalcin, Huseyin Selcuk Kilic, et al. · Technological Forecasting and Social Change · 221
A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics
2020 · Martijn Koot, Martijn R.K. Mes, et al. · Computers & Industrial Engineering · 217
Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method
2019 · R. Hu, F. Fang, et al. · Journal of Hydrology · 210
Introduction to cyber manufacturing
2016 · Jay Lee, Behrad Bagheri, et al. · Manufacturing Letters · 193
Applications of machine learning methods in port operations – A systematic literature review
2022 · Siyavash Filom, Amir M. Amiri, et al. · Transportation Research Part E Logistics and Transportation Review · 183
Early Predictions of Movie Success: The Who, What, and When of Profitability
2016 · Michael T. Lash, Kang Zhao · Journal of Management Information Systems · 183
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Works count: 2,813
Citation count: 24,320
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