[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 …

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

A Diez-Olivan, J Del Ser, D Galar, B Sierra - Information Fusion, 2019 - Elsevier
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 …

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 …

[HTML][HTML] Introducing BASE: the Biomes of Australian Soil Environments soil microbial diversity database

A Bissett, A Fitzgerald, T Meintjes, PM Mele, F Reith… - GigaScience, 2016 - Springer
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 …

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 …

[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 …

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 …

[图书][B] Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence

D Galar, K Goebel, P Sandborn, U Kumar - 2021 - taylorfrancis.com
Maintenance combines various methods, tools, and techniques in a bid to reduce
maintenance costs while increasing the reliability, availability, and security of equipment …

Generic framework to predict repeat behavior of customers using their transaction history

AH Kazmi, G Shroff, P Agarwal - 2016 IEEE/WIC/ACM …, 2016 - ieeexplore.ieee.org
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 …

[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 …