A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …
available unprecedented massive amount of data. The capability to process these gigantic …
Analisis data artikel sistem pakar menggunakan metode systematic review
H Sastypratiwi, RD Nyoto - JEPIN (Jurnal Edukasi dan Penelitian …, 2020 - jurnal.untan.ac.id
Evaluating the factors that influence blockchain adoption in the freight logistics industry
This study proposes a technology-organization-environment (TOE) theoretical framework of
critical factors that influence the successful adoption of blockchain technologies in the freight …
critical factors that influence the successful adoption of blockchain technologies in the freight …
Integration of industry 4.0 related technologies in construction industry: a framework of cyber-physical system
Z You, L Feng - Ieee Access, 2020 - ieeexplore.ieee.org
The Fourth Industrial Revolution (Industry 4.0) is reshaping the construction industry and
bringing it into an intelligent construction era. Emerging technologies, such as the Building …
bringing it into an intelligent construction era. Emerging technologies, such as the Building …
The application of machine learning techniques for predicting match results in team sport: A review
Predicting the results of matches in sport is a challenging and interesting task. In this paper,
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …
Big data and human resource management: paving the way toward sustainability
Purpose This paper aims to examine the influence of big data (BD) on human resource
management (HRM). It defines how these data can be a useful tool in the decision-making …
management (HRM). It defines how these data can be a useful tool in the decision-making …
Deep Learning Algorithms and Multicriteria Decision‐Making Used in Big Data: A Systematic Literature Review
The data are ever increasing with the increase in population, communication of different
devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes …
devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes …
Information acquisition from data-driven analytics: A perspective of blockchain service in a duopoly market
L Xu, Y Luo, X Pu - Computers & Industrial Engineering, 2023 - Elsevier
In this research, we investigate a pricing problem for a blockchain service provider who sells
data-driven analytics to two firms in a duopoly market, which acquires information to allow …
data-driven analytics to two firms in a duopoly market, which acquires information to allow …
Machine learning outperforms logistic regression analysis to predict next-season NHL player injury: an analysis of 2322 players from 2007 to 2017
BC Luu, AL Wright, HS Haeberle… - … journal of sports …, 2020 - journals.sagepub.com
Background: The opportunity to quantitatively predict next-season injury risk in the National
Hockey League (NHL) has become a reality with the advent of advanced computational …
Hockey League (NHL) has become a reality with the advent of advanced computational …
A lean construction and BIM interaction model for the construction industry
Abstract An Analytical Network Process (ANP) was created to test the Lean and BIM
concepts with data collected from US companies to find the success factors of the Lean/BIM …
concepts with data collected from US companies to find the success factors of the Lean/BIM …