Zobrazeno 1 - 10
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pro vyhledávání: '"Barahona, Igor"'
Autor:
Barahona, Igor
A comprehensive examination of data science vocabulary usage over the past 13 years in this work is conducted. The investigation commences with a dataset comprising 16,018 abstracts that feature the term "data science" in either the title, abstract,
Externí odkaz:
http://arxiv.org/abs/2310.14808
Autor:
Barahona, Igor
Here I present an investigation on the evolution and use of vocabulary in data science in the last 13 years. Based on a rigorous statistical analysis, a database with 12,787 documents containing the words "data science" in the title, abstract or keyw
Externí odkaz:
http://arxiv.org/abs/2204.10174
Autor:
Barahona, Igor1 j.barahonatorres@kfupm.edu.sa, Fallatah, Majed1 mfallatah@kfupm.edu.sa, Alkhars, Mohammed1 malkhars@kfupm.edu.sa
Publikováno v:
LogForum. Jul-Sep2024, Vol. 20 Issue 3, p373-388. 16p.
Latent Semantic Analysis (LSA) was initially conceived by the cognitive psychology at the 90s decade. Since its emergence, the LSA has been used to model cognitive processes, pointing out academic texts, compare literature works and analyse political
Externí odkaz:
http://arxiv.org/abs/1902.02173
Autor:
Almulhim, Tarifa, Barahona, Igor
Publikováno v:
In Socio-Economic Planning Sciences February 2023 85
We investigate the impact of mathematics on improving neighbourhood integration and perception of security. The main square of Chamilpa colony in Cuernavaca, M\'exico is take as study case. This city is featured by its precarious recreational and lei
Externí odkaz:
http://arxiv.org/abs/1811.09587
Publikováno v:
International Journal of Supply and Operations Management. (2014) Vol.1, Issue 2, pp 129-151
In the future, competitive advantages will be given to organisations that can extract valuable information from massive data and make better decisions. In most cases, this data comes from multiple sources. Therefore, the challenge is to aggregate the
Externí odkaz:
http://arxiv.org/abs/1602.03926
Publikováno v:
JSM Proceedings (2015) Section on Statistics in Marketing. Alexandria, VA. American Statistical Association. 1121-1131
Here a collection of 1169 abstracts, which corresponds to articles that the Journal of Marketing Research has published from 2005 to 2014, are analysed under a novel approach. We apply several statistical methods, such as Principal Components Analysi
Externí odkaz:
http://arxiv.org/abs/1606.03963
Analytical tools in business management are understood as a combination of information technologies and quantitative methods used to assist stakeholders to make better decisions. The contemporary business environment is dramatically changing by the m
Externí odkaz:
http://arxiv.org/abs/1607.07796