Application of intelligence-based computational techniques for classification and early differential diagnosis of COVID-19 disease
December 2021
Clinical methods are used for diagnosing COVID-19 infected patients, but reports posit that, several people who were initially tested positive of COVID-19, and who had some underlying diseases, turned...
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Machine learning-based approach: global trends, research directions, and regulatory standpoints
December 2021
The field of machine learning (ML) is sufficiently young that it is still expanding at an accelerating pace, lying at the crossroads of computer science and statistics, and at the core of artificial...
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Popular cryptoassets (Bitcoin, Ethereum, and Dogecoin), Gold, and their relationships: volatility and correlation modeling
December 2021
Cryptoassets have experienced dramatic volatility in their prices, especially during the COVID-19 pandemic era. This pilot study explores the volatility asymmetry and correlations among three popular...
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Recommendation system with minimized transaction data
December 2021
This paper deals with the recommendation system in the so-called user-centric payment environment where users, i.e., the payers, can make payments without providing self-information to merchants. This...
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Comparative study of three stochastic future weather forecast approaches: a case study
September 2021
Weather forecasting is an essential component of different hydrological studies. This article compares the weather prediction performance of various machine learning models like k-nearest neighbours...
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Improving Google Flu Trends for COVID-19 estimates using Weibo posts
September 2021
While incomplete non-medical data has been integrated into prediction models for epidemics, the accuracy and the generalizability of the data are difficult to guarantee. To comprehensively evaluate...
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Four major tasks of data science
September 2021
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The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining
September 2021
The progress of IT technology such as social network and mobile payment and the change of social economic environment promote the emergence of sharing economy. As a subversive business model, the sharing...
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Profiling the digital divide of the elderly based on Internet big data: evidence from China
September 2021
The integrated development of population aging and digital information age has brought an insurmountable “digital divide” to the elderly. We propose a method to profile the digital divide of the elderly...
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The effect of online reviews on addressing endogeneity in discrete choice models
June 2021
This paper investigates the effectiveness of online reviews on addressing price endogeneity issue in an application to consumer demand for smartphone. We consider review variables as the substitutes...
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Data security governance in the era of big data: status, challenges, and prospects
June 2021
At present, the global big data industry is experiencing vibrant development with technological evolution and application innovation speeding up side by side. Novel technologies for data storage, computing...
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Machine learning-based prediction models for patients no-show in online outpatient appointments
June 2021
With the development of information and communication technologies, all public tertiary hospitals in China began to use online outpatient appointment systems. However, the phenomenon of patient no-shows...
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What does Uber bring for consumers?
June 2021
This paper estimates the consumer surplus that Uber brings for consumers. The estimation uses three datasets: individual-level choice dataset—the National Household Travel Survey (NHTS) data of 2008–2009,...
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An exploratory study of the growth of the Accountable Care Organization and its impact on physician groups’ profit: a complex adaptive system approach
June 2021
The emergence of Accountable Care Organizations (ACOs) in the landscape of the U.S. healthcare system marks a paradigm shift in healthcare operations. The potential impact of ACOs has been a topic of...
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Analyzing potential tourist behavior using PCA and modified affinity propagation clustering based on Baidu index: taking Beijing city as an example
June 2021
In recent years, when planning and determining a travel destination, residents often make the best of Internet techniques to access extensive travel information. Search engines undeniably reveal visitors'...
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Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk
March 2021
With the integration of social media and e-commerce, social media review platforms provide consumers with a place to share information and create electronic word of mouth (e-WOM). Information from e-WOM...
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Novel information fusion model for simulating the effect of global public events on the Sino-US soybean futures market
March 2021
Trade frictions and global public health security events have made it more difficult for investors to generate positive returns from the Sino-US soybean futures markets. This paper employed deep learning...
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Publisher's note
March 2021
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Heterogeneity in individual beliefs and its implication for valuing willingness to pay
March 2021
This study conducts an experimental analysis of risky travel choice behaviour, while accounting for the trade-off between attributes, nonlinearity in utility specification and perceptual conditioning....
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Data analytics for optimizing extreme fast charging: a survey
March 2021
Electric vehicles have become a trend as a replacement to gasoline-powered vehicles, and been promoted by worldwide policy makers as a solution to combat environmental problems and stimulate economy....
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A review on the gray market business using a data-driven approach
March 2021
This study provides a systematic overview of the literature in gray market business using a data-driven approach and points out several future research directions. The emergence of gray markets is discussed...
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Data science: connotation, methods, technologies, and development
March 2021
The rapid development of big data breeds data science. Understanding and mastering the internal pattern of the value generation of big data is important for improving digitization and the covergence...
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An interview with Shouyang Wang: research frontier of big data-driven economic and financial forecasting
March 2021
The development of big data generation, acquisition, storage, processing, and other technologies has greatly enriched our sensory world and fundamentally changed the basis of traditional economic and...
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