[HTML][HTML] Prescriptive analytics: Literature review and research challenges
K Lepenioti, A Bousdekis, D Apostolou… - International Journal of …, 2020 - Elsevier
Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …
intelligent decisions with the aim to create business value. To date, the major focus in the …
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Fusion in stock market prediction: a decade survey on the necessity, recent developments, and potential future directions
A Thakkar, K Chaudhari - Information Fusion, 2021 - Elsevier
Investment in a financial market is aimed at getting higher benefits; this complex market is
influenced by a large number of events wherein the prediction of future market dynamics is …
influenced by a large number of events wherein the prediction of future market dynamics is …
[HTML][HTML] Introducing BASE: the Biomes of Australian Soil Environments soil microbial diversity database
Background Microbial inhabitants of soils are important to ecosystem and planetary
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …
functions, yet there are large gaps in our knowledge of their diversity and ecology. The …
Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data
ID Dinov - Gigascience, 2016 - academic.oup.com
Managing, processing and understanding big healthcare data is challenging, costly and
demanding. Without a robust fundamental theory for representation, analysis and inference …
demanding. Without a robust fundamental theory for representation, analysis and inference …
[HTML][HTML] A survey on various applications of prescriptive analytics
S Poornima, M Pushpalatha - International Journal of Intelligent Networks, 2020 - Elsevier
Decision making needs more support to gain momentum with increasing trend in big data
analytics. Conventionally, descriptive and predictive analytics supported the decision …
analytics. Conventionally, descriptive and predictive analytics supported the decision …
Prescriptive analytics: a survey of approaches and methods
K Lepenioti, A Bousdekis, D Apostolou… - … Systems Workshops: BIS …, 2019 - Springer
Data analytics has gathered a lot of attention during the last years. Although descriptive and
predictive analytics have become well-established areas, prescriptive analytics has just …
predictive analytics have become well-established areas, prescriptive analytics has just …
[图书][B] Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence
Maintenance combines various methods, tools, and techniques in a bid to reduce
maintenance costs while increasing the reliability, availability, and security of equipment …
maintenance costs while increasing the reliability, availability, and security of equipment …
Generic framework to predict repeat behavior of customers using their transaction history
There exists a class of problems in e-commerce and retail businesses where the shopping
behavior of customers is analyzed in order to predict their repeat behavior for products or …
behavior of customers is analyzed in order to predict their repeat behavior for products or …
[PDF][PDF] Constituent elements for prescriptive analytics systems
K Stefani, P Zschech - 2018 - core.ac.uk
Prescriptive analytics has emerged as a technological driver in data-intensive enterprise
environments, as it tries to transform valuable insights into actionable recommendations and …
environments, as it tries to transform valuable insights into actionable recommendations and …