Data Research Papers

Discovering statistics using R

Uncertainty in Geographical Information

Preface. Geographical Information and Uncertainty. Geographical Perspectives. Geographical Measurement and Data. Exploring Geographical Uncertainty. Uncertainty in Continuous Variables. Uncertainty in Categorical Variables. Uncertainty in O...

Geographically Weighted Regression

In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte ...

Un modèle gravitaire géoéconomique des échanges commerciaux entre les pays de l’U.E., les PECO et les PTM

The process of enlargement of the European Union is continuous, involving in 2004 ten Central or Oriental European Countries (PECO), and later some Mediterranean countries (PTM). But the EU still asks important questions: what are the candi...

Cellular Geography

Instrumental Variables Estimation in Political Science: A Readers’ Guide

The use of instrumental variables regression in political science has evolved from an obscure technique to a staple of the political science tool kit. Yet the surge of interest in the instrumental variables method has led to implementation ...

Assessing Efficiency of Public Poverty Policies in UE-28 with Linguistic Variables and Fuzzy Correlation Measures

The present study analyzes the efficiency of social expenditure by EU-28 countries within the period 2014–2018 to reduce poverty. The data are provided by programs European Union Statistics on Income and Living Conditions (EU-SILC) and Euro...

Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior

In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...

Big Data Driven Supply Chain Management and Business Administration

Big Data helps improve visibility throughout the supply chain, provides an integrated view of operational performance and customer interaction and gives businesses real-time insights that help make critical decisions. Big Data also has a po...

Macro-economic determinants of the IPO waves: An assessment of G-7 countries [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]

Background The objective of this study is to explore the macroeconomic factors considered by companies in scheduling initial public offerings (IPOs). Methods The panel data analysis method was employed to investigate the relationship betwee...

The Effect of Healthcare Data Analytics Training on Knowledge Management: A Quasi-Experimental Field Study

This study aims to provide practice-oriented evidence regarding the implementation of healthcare data analytics and its impact on the use of new data analytics tools and relevant analytical skills improvement. A quasi-experimental pre-test/...

Modeling and Optimizing the Performance of an Industrial Trigeneration Unit

Trigeneration provides an effective means of power, heat, and cold production on site. Proper design and well-managed operation of such units can bring in substantial savings in consumed primary energy as well as in the amount of greenhouse...

Influence of Non - Condensable Gases on the Processes of Heat and Mass Transfer during Film Condensation of Steam in Heat Exchangers

The aim of the article is a quantitative assessment of the influence of non-condensable gases on the intensity of heat and mass transfer processes during film condensation of steam in the specific conditions for heat exchanger. The task is ...

Review of Novum Inventorium Sepulchrale: Kentish Anglo-Saxon Graves and Grave Goods in the Sonia Chadwick Hawkes Archive (Online Digital Corpus)

In 2007, the year in which the Society of Antiquaries of London celebrated its tercentenary, what more fitting tribute to those industrious individuals than that their work be made accessible to a new generation of students. One means was b...

Advanced technologies and international business: A multidisciplinary analysis of the literature

Advanced digital technologies, such as the Internet of Things, blockchain, big data analytics and augmented reality, are gradually transforming the way multinational firms do business. Due to the extent of this transformation many scholars ...

Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia

IntroductionThe regional disparity in higher education access can only be met when there are strategies for sustainable development and diversification of the economy, as envisioned in Saudi Vision 2030. Currently, 70% of universities are c...

Can Open Government Data Improve City Green Land-Use Efficiency? Evidence from China

This study adopted the double difference method to study the effect of open government data (OGD) on city green land-use efficiency (CGLUE). It was found that opening government data had a significant promotional effect on CGLUE, and a numb...

Industry 4.0, global value chains and international business

Purpose This paper aims to provide an assessment of how the widespread adoption of new digital technologies (i.e. the Internet of things, big data and analytics, robotic systems and additive manufacturing) might affect the location and orga...

DATA MINING APPLICATIONS IN TRANSPORTATION ENGINEERING

Data mining is the extraction of implicit, previously unknown and potentially useful information from data. In recent time, data mining studies have been carried out in many engineering disciplines. In this paper the background of data mini...

Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images

To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. This stu...