[HTML][HTML] Is there a role for statistics in artificial intelligence?
S Friedrich, G Antes, S Behr, H Binder… - Advances in Data …, 2022 - Springer
The research on and application of artificial intelligence (AI) has triggered a comprehensive
scientific, economic, social and political discussion. Here we argue that statistics, as an …
scientific, economic, social and political discussion. Here we argue that statistics, as an …
Data science and interdisciplinarity
In parallel with the progression of technology, the tourism industry has been continuously
confronted with a large amount of data that needs to be systematically analyzed in order to …
confronted with a large amount of data that needs to be systematically analyzed in order to …
Peer Review Buku Statistika Bidang Teknologi Informasi
A Limbong - Statistika Bidang Teknologi Informasi, 2021 - repository.unai.edu
Statistika salah satu disiplin ilmu yang paling penting untuk menyediakan alat dan metode
untuk menemukan struktur dan memberikan wawasan yang lebih dalam tentang data dan …
untuk menemukan struktur dan memberikan wawasan yang lebih dalam tentang data dan …
[HTML][HTML] Data-driven quality improvement approach to reducing waste in manufacturing
R Clancy, D O'Sullivan, K Bruton - The TQM Journal, 2023 - emerald.com
Purpose Data-driven quality management systems, brought about by the implementation of
digitisation and digital technologies, is an integral part of improving supply chain …
digitisation and digital technologies, is an integral part of improving supply chain …
[HTML][HTML] Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
L Cao - International Journal of Data Science and Analytics, 2023 - Springer
After the many ups and downs over the past 70 years of AI and 50 years of data science
(DS), AI/DS have migrated into their new age. This new-generation AI/DS build on the …
(DS), AI/DS have migrated into their new age. This new-generation AI/DS build on the …
The science of statistics versus data science: What is the future?
The importance and relevance of the discipline of statistics with the merits of the evolving
field of data science continues to be debated in academia and industry. Following a …
field of data science continues to be debated in academia and industry. Following a …
Machine learning and traditional econometric models: a systematic mapping study
ME Pérez-Pons, J Parra-Dominguez… - Journal of Artificial …, 2021 - sciendo.com
Abstract Context: Machine Learning (ML) is a disruptive concept that has given rise to and
generated interest in different applications in many fields of study. The purpose of Machine …
generated interest in different applications in many fields of study. The purpose of Machine …
Revising the DIKW pyramid and the real relationship between data, information, knowledge, and wisdom
HJ Van Meter - Law, Technology and Humans, 2020 - search.informit.org
This paper offers a critique and reformulation of the data-information-knowledge-wisdom
(DIKW) pyramid. Today, collection of personal, business, industrial, and other types of data …
(DIKW) pyramid. Today, collection of personal, business, industrial, and other types of data …
Data science literacy: Toward a philosophy of accessible and adaptable data science skill development in public administration programs
M Overton, S Kleinschmit - Teaching Public Administration, 2022 - journals.sagepub.com
Public administration is struggling to contend with a substantial shift in practice fueled by the
accelerating adoption of information technology. New skills, competencies and pedagogies …
accelerating adoption of information technology. New skills, competencies and pedagogies …
Introducing DASC-PM: a data science process model
M Schulz, U Neuhaus, J Kaufmann, D Badura… - 2020 - aisel.aisnet.org
Data-driven disciplines like data mining and knowledge management already provide
process-based frameworks for data analysis projects, such as the well-known cross-industry …
process-based frameworks for data analysis projects, such as the well-known cross-industry …