Scientific mapping to identify competencies required by industry 4.0
The objective of this study was to identify what competencies are identified in the literature
as necessary for Industry 4.0 by conducting a survey of the literature and a scientific …
as necessary for Industry 4.0 by conducting a survey of the literature and a scientific …
CRISP-DM twenty years later: From data mining processes to data science trajectories
F Martínez-Plumed… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …
half of the nineties and is thus about two decades old. According to many surveys and user …
Predicting student academic performance at higher education using data mining: A systematic review
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …
huge amount of educational data that can be used to discover new insights that have a …
Synthesizing CRISP-DM and quality management: A data mining approach for production processes
F Schäfer, C Zeiselmair, J Becker… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper presents the QM-CRISP-DM for data mining applications in the context of
production process improvement. It proposes concrete quality management tools for every …
production process improvement. It proposes concrete quality management tools for every …
A methodology of improvement of manufacturing productivity through increasing operational efficiency of the production process
J Trojanowska, A Kolinski, D Galusik… - Advances in …, 2018 - Springer
One of the most important aspects of manufacturing efficiency assessment is the
determination of productivity. A study of the relevant literature and a review of business …
determination of productivity. A study of the relevant literature and a review of business …
A systematic review of predicting elections based on social media data: research challenges and future directions
KDS Brito, RLC Silva Filho… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The way politicians communicate with the electorate and run electoral campaigns was
reshaped by the emergence and popularization of contemporary social media (SM), such as …
reshaped by the emergence and popularization of contemporary social media (SM), such as …
Evolution paths for knowledge discovery and data mining process models
A Rotondo, F Quilligan - SN Computer Science, 2020 - Springer
Despite the hype around data analytics, the success rate of analytics initiatives remains very
low and the value of data in organisations is left hidden. Various research studies show that …
low and the value of data in organisations is left hidden. Various research studies show that …
[HTML][HTML] Data-driven engineering design: A systematic review using scientometric approach
In the last two decades, data regarding engineering design and product development has
increased rapidly. Big data exploration and mining offer numerous opportunities for …
increased rapidly. Big data exploration and mining offer numerous opportunities for …
Scientific and methodological approach for the identification of mathematical models of mechanical systems by using artificial neural networks
The article is aimed at developing the scientific and methodological approach of using
artificial neural networks (ANN) for solving applied problems in the field of mechanical …
artificial neural networks (ANN) for solving applied problems in the field of mechanical …
[PDF][PDF] Parameter identification of hydro-mechanical processes using artificial intelligence systems
The article is aimed at developing the comprehensive approach of parameter identification
of complicated hydro-mechanical system by means of artificial intelligence systems (AIS) …
of complicated hydro-mechanical system by means of artificial intelligence systems (AIS) …