International journal of data science and analytics

Keyphrases

Publications

2023

Mohammadreza Samadi, Saeedeh Momtazi
Fake news detection: deep semantic representation with enhanced feature engineering. International journal of data science and analytics (2023)
Bilgeçağ Aydoğdu, Hanif Samad, Shiqi Bai, Sami Abboud, Ilias Gorantis, Albert Ali Salah
Analyzing international airtime top-up transfers for migration and mobility. International journal of data science and analytics (2023)
Bilgeçağ Aydoğdu, Hanif Samad, Shiqi Bai, Sami Abboud, Ilias Gorantis, Albert Ali Salah
Analyzing international airtime top-up transfers for migration and mobility. International journal of data science and analytics (2023)
Nina Errey, Jie Liang, Tuck Wah Leong, Didar Zowghi
Evaluating narrative visualization: a survey of practitioners. International journal of data science and analytics (2023)
Muhammad Ahsan-Ul-Haq, Javeria Zafar
A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications. International journal of data science and analytics (2023)
Muhammad Ahsan-Ul-Haq, Javeria Zafar
A new one-parameter discrete probability distribution with its neutrosophic extension: mathematical properties and applications. International journal of data science and analytics (2023)
Mohammadreza Samadi, Saeedeh Momtazi
Fake news detection: deep semantic representation with enhanced feature engineering. International journal of data science and analytics (2023)
Nina Errey, Jie Liang, Tuck Wah Leong, Didar Zowghi
Evaluating narrative visualization: a survey of practitioners. International journal of data science and analytics (2023)

volume 15, number 3, 2023

Longbing Cao
AI and data science for smart emergency, crisis and disaster resilience. International journal of data science and analytics 15 (3) (2023)

2022

Minyu Wan, Qi Su, Rong Xiang, Chu-Ren Huang
Data-driven analytics of COVID-19 'infodemic'. International journal of data science and analytics (2022)
Aniruddha Basak, Kevin M Schmidt, Ole Jakob Mengshoel
From data to interpretable models: machine learning for soil moisture forecasting. International journal of data science and analytics (2022)
Guang Lu, Martin Businger, Christian Dollfus, Thomas Wozniak, Matthes Fleck, Timo Heroth, Irina Lock, Janna Lipenkova
Agenda-Setting for COVID-19: A Study of Large-Scale Economic News Coverage Using Natural Language Processing. International journal of data science and analytics (2022)
C S Rajitha, A Akhilnath
Generalization of the Lindley distribution with application to COVID-19 data. International journal of data science and analytics (2022)
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA. International journal of data science and analytics (2022)
Minh-Tri Nguyen, Thin Nguyen, Truyen Tran
Learning to discover medicines. International journal of data science and analytics (2022)
Till D Frank
Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients. International journal of data science and analytics (2022)
Thirunavukarasu Balasubramaniam, David J Warne, Richi Nayak, Kerrie Mengersen
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. International journal of data science and analytics (2022)
Gillian Kant, Levin Wiebelt, Christoph Weisser, Krisztina Kis-Katos, Mattias Luber, Benjamin Säfken
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter. International journal of data science and analytics (2022)
Shaina Raza, Deepak John Reji, Chen Ding
Dbias: detecting biases and ensuring fairness in news articles. International journal of data science and analytics (2022)
Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. International journal of data science and analytics (2022)
Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth
Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection. International journal of data science and analytics (2022)

volume 14, number 2, 2022

Salma Sassi, Mirjana Ivanovic, Richard Chbeir, Rajendra Prasath, Yannis Manolopoulos
Collective intelligence and knowledge exploration: an introduction. International journal of data science and analytics 14 (2) (2022)

volume 14, number 3, 2022

Miranda L Lynch, Victor DeGruttola
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression. International journal of data science and analytics 14 (3) (2022)

volume 14, number 4, 2022

Bharathi Raja Chakravarthi
Multilingual hope speech detection in English and Dravidian languages. International journal of data science and analytics 14 (4) (2022)

volume 13, number 4, 2022

Madalina Vlasceanu, Alin Coman
The impact of information sources on COVID-19 knowledge accumulation and vaccination intention. International journal of data science and analytics 13 (4) (2022)
Shaina Raza, Chen Ding
Fake news detection based on news content and social contexts: a transformer-based approach. International journal of data science and analytics 13 (4) (2022)
Chaoyuan Zuo, Kritik Mathur, Dhruv Kela, Noushin Salek Faramarzi, Ritwik Banerjee
Beyond belief: a cross-genre study on perception and validation of health information online. International journal of data science and analytics 13 (4) (2022)
Sadiq Muhammed T, Saji K Mathew
The disaster of misinformation: a review of research in social media. International journal of data science and analytics 13 (4) (2022)
Anastasia Giachanou, Xiuzhen Zhang, Alberto Barrón-Cedeño, Olessia Koltsova, Paolo Rosso
Online information disorder: fake news, bots and trolls. International journal of data science and analytics 13 (4) (2022)

2021

Wojtek Buczynski, Fabio Cuzzolin, Barbara Sahakian
A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life. International journal of data science and analytics (2021)
Yang Li, Yi Pan
A novel ensemble deep learning model for stock prediction based on stock prices and news. International journal of data science and analytics (2021)
Michael A Hamilton, Danielle Hamilton, Oluwatamilore Soneye, Olorunshola Ayeyemi, Raed Jaradat
An analysis of the impact of policies and political affiliation on racial disparities in COVID-19 infections and deaths in the USA. International journal of data science and analytics (2021)
Bowen Du, Zirong Zhao, Jiejie Zhao, Le Yu, Leilei Sun, Weifeng Lv
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility. International journal of data science and analytics (2021)
Ralph Foorthuis
On the nature and types of anomalies: a review of deviations in data. International journal of data science and analytics (2021)
A Srinivas Reddy, P Krishna Reddy, Anirban Mondal, U Deva Priyakumar
Mining subgraph coverage patterns from graph transactions. International journal of data science and analytics (2021)
Asma Rani, Navneet Goyal, Shashi K Gadia
Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database. International journal of data science and analytics (2021)

volume 13, number 4, 2021

Veronika Batzdorfer, Holger Steinmetz, Marco Biella, Meysam Alizadeh
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic. International journal of data science and analytics 13 (4) (2021)

volume 11, number 1, 2020

Ruth M Pfeiffer, Daniel B Kapla, Efstathia Bura
Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors. International journal of data science and analytics 11 (1) (2020)

volume 8, number 2, 2019

David D Pokrajac, Poopalasingam Sivakumar, Yuriy Markushin, Daniela Milovic, Gary Holness, Jinjie Liu, Noureddine Melikechi, Mukti Rana
Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier. International journal of data science and analytics 8 (2) (2019)

volume 7, number 2, 2018

Ivo D Dinov
Quant Data Science meets Dexterous Artistry. International journal of data science and analytics 7 (2) (2018)

volume 6, number 1, 2018

Vineet K Raghu, Joseph D Ramsey, Alison Morris, Dimitrios V Manatakis, Peter Sprites, Panos K Chrysanthis, Clark Glymour, Panayiotis V Benos
Comparison of strategies for scalable causal discovery of latent variable models from mixed data. International journal of data science and analytics 6 (1) (2018)
Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos
Constraint-based causal discovery with mixed data. International journal of data science and analytics 6 (1) (2018)
Eric V Strobl, Shyam Visweswaran, Peter L Spirtes
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion. International journal of data science and analytics 6 (1) (2018)
Bryan Andrews, Joseph Ramsey, Gregory F Cooper
Scoring Bayesian Networks of Mixed Variables. International journal of data science and analytics 6 (1) (2018)

volume 6, number 3, 2018

Arno Siebes
Data science as a language: challenges for computer science-a position paper. International journal of data science and analytics 6 (3) (2018)
Niels Peek, Pedro Pereira Rodrigues
Three controversies in health data science. International journal of data science and analytics 6 (3) (2018)

volume 3, number 2, 2016

Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan Buitelaar, Tom Heskes
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. International journal of data science and analytics 3 (2) (2016)
Joseph Ramsey, Madelyn Glymour, Ruben Sanchez-Romero, Clark Glymour
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. International journal of data science and analytics 3 (2) (2016)

volume 2, number 3-4, 2016

Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne Haake
Intelligent medical image grouping through interactive learning. International journal of data science and analytics 2 (3-4) (2016)
Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne Haake
Intelligent medical image grouping through interactive learning. International journal of data science and analytics 2 (3-4) (2016)