Search Results - "Journal of Data Science"

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China by Wang, Lili, Zhou, Yiwang, He, Jie, Zhu, Bin, Wang, Fei, Tang, Lu, Kleinsasser, Michael, Barker, Daniel, Eisenberg, Marisa C., Song, Peter X.K.

“…We develop a health informatics toolbox that enables timely analysis and evaluation of the time-course dynamics of a range of infectious disease epidemics. As…”
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Shape-Restricted Regression Splines with R Package splines2 by Wang, Wenjie, Yan, Jun

“…Splines are important tools for the flexible modeling of curves and surfaces in regression analyses. Functions for constructing spline basis functions are…”
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Measuring objective and subjective well-being: dimensions and data sources by Voukelatou, Vasiliki, Gabrielli, Lorenzo, Miliou, Ioanna, Cresci, Stefano, Sharma, Rajesh, Tesconi, Maurizio, Pappalardo, Luca

“…Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main…”
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Interpreting tree ensembles with inTrees by Deng, Houtao

“…Tree ensembles such as random forests and boosted trees are accurate but difficult to understand. In this work, we provide the interpretable trees (inTrees)…”
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Big data analytics on Apache Spark by Salloum, Salman, Dautov, Ruslan, Chen, Xiaojun, Peng, Patrick Xiaogang, Huang, Joshua Zhexue

“…Apache Spark has emerged as the de facto framework for big data analytics with its advanced in-memory programming model and upper-level libraries for scalable…”
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AutoML: state of the art with a focus on anomaly detection, challenges, and research directions by Bahri, Maroua, Salutari, Flavia, Putina, Andrian, Sozio, Mauro

“…The last decade has witnessed the explosion of machine learning research studies with the inception of several algorithms proposed and successfully adopted in…”
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Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model by Sun, Haoxuan, Qiu, Yumou, Yan, Han, Huang, Yaxuan, Zhu, Yuru, Gu, Jia, Chen, Songxi

“…We propose a varying coefficient Susceptible-Infected-Removal (vSIR) model that allows changing infection and removal rates for the latest corona virus…”
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A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images by Ramsey, Joseph, Glymour, Madelyn, Sanchez-Romero, Ruben, Glymour, Clark

“…We describe two modifications that parallelize and reorganize caching in the well-known Greedy Equivalence Search algorithm for discovering directed acyclic…”
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A novel ensemble deep learning model for stock prediction based on stock prices and news by Li, Yang, Pan, Yi

“…In recent years, machine learning and deep learning have become popular methods for financial data analysis, including financial textual data, numerical data,…”
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A Review on Graph Neural Network Methods in Financial Applications by Wang, Jianian, Zhang, Sheng, Xiao, Yanghua, Song, Rui

“…With multiple components and relations, financial data are often presented as graph data, since it could represent both the individual features and the…”
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Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN by Wang, Xingrui, Liu, Xinyu, Lu, Ziteng, Yang, Hanfang

“…A large volume of trajectory data collected from human beings and vehicle mobility is highly sensitive due to privacy concerns. Therefore, generating synthetic…”
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Fake news detection based on news content and social contexts: a transformer-based approach by Raza, Shaina, Ding, Chen

“…Fake news is a real problem in today’s world, and it has become more extensive and harder to identify. A major challenge in fake news detection is to detect it…”
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A Review on Optimal Subsampling Methods for Massive Datasets by Yao, Yaqiong, Wang, HaiYing

“…Subsampling is an effective way to deal with big data problems and many subsampling approaches have been proposed for different models, such as leverage…”
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The disaster of misinformation: a review of research in social media by Muhammed T, Sadiq, Mathew, Saji K.

“…The spread of misinformation in social media has become a severe threat to public interests. For example, several incidents of public health concerns arose out…”
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Detecting computer-generated disinformation by Stiff, Harald, Johansson, Fredrik

“…Modern neural language models can be used by malicious actors to automatically produce textual content looking as it has been written by genuine human users…”
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Automatic emotion detection in text streams by analyzing Twitter data by Hasan, Maryam, Rundensteiner, Elke, Agu, Emmanuel

“…Techniques to detect the emotions expressed in microblogs and social media posts have a wide range of applications including, detecting psychological disorders…”
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A Generalized Class of Exponentiated Modified Weibull Distribution With Applications by Pu, Shusen, Oluyede, Broderick O., Qiu, Yuqi, Linder, Daniel

“…In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GEMW) distribution which includes exponential, Rayleigh,…”
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Variable Importance Scores by Loh, Wei-Yin, Zhou, Peigen

“…There are many methods of scoring the importance of variables in prediction of a response but not much is known about their accuracy. This paper partially…”
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Incorporating Interventions to an Extended SEIRD Model with Vaccination: Application to COVID-19 in Qatar by Amona, Elizabeth B., Ghanam, Ryad A., Boone, Edward L., Sahoo, Indranil, Abu-Raddad, Laith J.

“…The COVID-19 outbreak of 2020 has required many governments to develop and adopt mathematical-statistical models of the pandemic for policy and planning…”
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Common Growth Patterns for Regional Social Networks: A Point Process Approach by Wang, Tiandong, Resnick, Sidney I.

“…In this paper, we study macroscopic growth dynamics of social network link formation. Rather than focusing on one particular dataset, we find invariant…”
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