[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 …

Big data analytics: a literature review

D Chong, H Shi - Journal of Management Analytics, 2015 - Taylor & Francis
With more and more data generated, it has become a big challenge for traditional
architectures and infrastructures to process large amounts of data within an acceptable time …

Social media big data analytics: A survey

NA Ghani, S Hamid, IAT Hashem, E Ahmed - Computers in Human …, 2019 - Elsevier
Big data analytics has recently emerged as an important research area due to the popularity
of the Internet and the advent of the Web 2.0 technologies. Moreover, the proliferation and …

Prediction model in medical science and health care

JHV Purba, M Ratodi, M Mulyana… - … Model in Medical …, 2019 - repository.stiemahardhika.ac.id
The healthcare part has seen an incredible advancement following the improvement of new
computer innovations, and that pushed this region to deliver increasingly restorative …

Prescriptive analytics: a survey of emerging trends and technologies

D Frazzetto, TD Nielsen, TB Pedersen, L Šikšnys - The VLDB Journal, 2019 - Springer
This paper provides a survey of the state-of-the-art and future directions of one of the most
important emerging technologies within business analytics (BA), namely prescriptive …

[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 …

Big data, big data analytics application to smart home technologies and services for geriatric rehabilitation

M Willetts, AS Atkins, C Stanier - Smart home technologies and services for …, 2022 - Elsevier
Abstract The World Health Organization expects that between 2015 and 2050 the proportion
of the global population over 60 years of age will almost double from 12% to 22%. A …

System integration for smart reverse logistics management

X Sun, H Yu, WD Solvang - 2022 IEEE/SICE International …, 2022 - ieeexplore.ieee.org
To maximize the value and material recovery from waste products, smart reverse logistics
aims at managing the complex flows of physical items, cash, data, and information. The …

Public health analytics and big data

SN Kasthurirathne, YA Ho, BE Dixon - Public health informatics and …, 2020 - Springer
Increasing accessibility and availability of heterogeneous data sources, growing data
science competencies across the public health workforce, and a preponderance of evidence …