Digitalisation and big data mining in banking

H Hassani, X Huang, E Silva - Big Data and Cognitive Computing, 2018 - mdpi.com
Banking as a data intensive subject has been progressing continuously under the promoting
influences of the era of big data. Exploring the advanced big data analytic tools like Data …

Big data and climate change

H Hassani, X Huang, E Silva - Big Data and Cognitive Computing, 2019 - mdpi.com
Climate science as a data-intensive subject has overwhelmingly affected by the era of big
data and relevant technological revolutions. The big successes of big data analytics in …

Improving mental health services: A 50-year journey from randomized experiments to artificial intelligence and precision mental health

L Bickman - Administration and Policy in Mental Health and Mental …, 2020 - Springer
This conceptual paper describes the current state of mental health services, identifies critical
problems, and suggests how to solve them. I focus on the potential contributions of artificial …

Big-crypto: Big data, blockchain and cryptocurrency

H Hassani, X Huang, E Silva - Big Data and Cognitive Computing, 2018 - mdpi.com
Cryptocurrency has been a trending topic over the past decade, pooling tremendous
technological power and attracting investments valued over trillions of dollars on a global …

Monitoring novel corona virus (COVID-19) infections in India by cluster analysis

S Kumar - Annals of Data Science, 2020 - Springer
It is a great challenge of identification as well as formation of groups of infectious disease
data set. Data mining, a process of uncovering silent characteristics of big data is one of …

Advanced techniques for monitoring and management of urban water infrastructures—An overview

A Hangan, CG Chiru, D Arsene, Z Czako, DF Lisman… - Water, 2022 - mdpi.com
Water supply systems are essential for a modern society. This article presents an overview
of the latest research related to information and communication technology systems for …

Data-driven causal knowledge graph construction for root cause analysis in quality problem solving

Z Xu, Y Dang - International Journal of Production Research, 2023 - Taylor & Francis
Root cause analysis (RCA) plays an essential role in quality problem solving (QPS). Due to
the difficulty of obtaining causal knowledge of quality problems, companies often rely on …

Big data and the little big bang: an epistemological (R) evolution

D Balazka, D Rodighiero - Frontiers in big Data, 2020 - frontiersin.org
Starting from an analysis of frequently employed definitions of big data, it will be argued that,
to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object …

[图书][B] Causal Factor Investing: Can Factor Investing Become Scientific?

MML de Prado - 2023 - books.google.com
Virtually all journal articles in the factor investing literature make associational claims, in
denial of the causal content of factor models. Authors do not identify the causal graph …

Deep learning and implementations in banking

H Hassani, X Huang, E Silva, M Ghodsi - Annals of Data Science, 2020 - Springer
Data-driven technologies have been changing every aspect of human life and the fast-
developing banking sector with its data-rich nature has become the implementation field of …