Data science: a comprehensive overview

L Cao - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The 21st century has ushered in the age of big data and data economy, in which data DNA,
which carries important knowledge, insights, and potential, has become an intrinsic …

50 years of data science

D Donoho - Journal of Computational and Graphical Statistics, 2017 - Taylor & Francis
More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The
Future of Data Analysis,” he pointed to the existence of an as-yet unrecognized science …

A second chance to get causal inference right: a classification of data science tasks

MA Hernán, J Hsu, B Healy - Chance, 2019 - Taylor & Francis
Miguel A. Hernán, John Hsu, and Brian Healy example, the famous “Simpson's paradox”
stemmed from a failure to recognize that the choice of data analysis depends on the causal …

Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods

SM Hosseini, MM Paydar… - Expert Systems with …, 2021 - Elsevier
Obviously, the Covid-19 pandemic has huge impact on most businesses and has caused
serious and countless problems for them. Therefore, providing solutions for affected …

[HTML][HTML] Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities

R Matheus, M Janssen, D Maheshwari - Government Information Quarterly, 2020 - Elsevier
Dashboards visualize a consolidated set data for a certain purpose which enables users to
see what is happening and to initiate actions. Dashboards can be used by governments to …

Forschungsmethoden und evaluation

N Döring, J Bortz - Wiesbaden: Springerverlag, 2016 - Springer
in den Sozial- und Humanwissenschaften 6. Auflage Nicola Döring Page 1 Forschungsmethoden
und Evaluation in den Sozial- und Humanwissenschaften 6. Auflage Nicola Döring Page 2 …

Science and data science

DM Blei, P Smyth - Proceedings of the National Academy of …, 2017 - National Acad Sciences
Data science has attracted a lot of attention, promising to turn vast amounts of data into
useful predictions and insights. In this article, we ask why scientists should care about data …

Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials

B Basu, NH Gowtham, Y Xiao, SR Kalidindi, KW Leong - Acta Biomaterialia, 2022 - Elsevier
Conventional approaches to developing biomaterials and implants require intuitive tailoring
of manufacturing protocols and biocompatibility assessment. This leads to longer …

A primer on theory-driven web scraping: Automatic extraction of big data from the Internet for use in psychological research.

RN Landers, RC Brusso, KJ Cavanaugh… - Psychological …, 2016 - psycnet.apa.org
The term big data encompasses a wide range of approaches of collecting and analyzing
data in ways that were not possible before the era of modern personal computing. One …

Materials data science: current status and future outlook

SR Kalidindi, M De Graef - Annual Review of Materials Research, 2015 - annualreviews.org
The field of materials science and engineering is on the cusp of a digital data revolution.
After reviewing the nature of data science and Big Data, we discuss the features of materials …