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ORCIDInternational Journal of Data Science and Analytics, Volume 15
Volume 15, Number 1, January 2023
- Chuanren Liu
, Ehsan Fakharizadi, Tong Xu, Philip S. Yu:
Recent advances in domain-driven data mining. 1-7 - Aniruddha Basak, Kevin M. Schmidt, Ole Jakob Mengshoel:
From data to interpretable models: machine learning for soil moisture forecasting. 9-32 - Arnab Dey, Andrew Heger, Darin England:
Urban fire station location planning using predicted demand and service quality index. 33-48 - Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, Fiona Browne, David McEneaneny:
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset. 49-66 - Mahreen Nasir, Christiana Ijeoma Ezeife:
Semantic enhanced Markov model for sequential E-commerce product recommendation. 67-91 - Hsuan-Cheng Sun, Tse-Yu Lin, Yen-Lung Tsai:
Performance prediction in major league baseball by long short-term memory networks. 93-104 - Andrea Villanes, Christopher G. Healey:
Domain-specific text dictionaries for text analytics. 105-118
Volume 15, Number 2, March 2023
- Longbing Cao:
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. 119-132 - Antonella Soledad Antonini, Leandro E. Luque, Maria Luján Ganuza, Silvia M. Castro:
Toward a taxonomy for 2D non-paired General Line Coordinates: a comprehensive survey. 133-158 - Chun Xiao, Seokhee Hong, Weidong Huang:
Optimizing graph layout by t-SNE perplexity estimation. 159-171 - Xu Zhang, Yaming Wang, Liang Zhang, Bo Jin, Hongzhe Zhang:
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis. 173-186 - Jiejie Zhao, Weifeng Lv, Bowen Du, Junchen Ye, Leilei Sun, Guixi Xiong:
Deep multi-task learning with flexible and compact architecture search. 187-199 - Sepideh Aghamolaei, Vahideh Keikha, Mohammad Ghodsi, Ali Mohades:
Sampling and sparsification for approximating the packedness of trajectories and detecting gatherings. 201-216 - Bo Feng, Chao Xu, Ziheng An:
AI recognition preprocessing algorithm for polyp based on illumination equalization and highlight restoration. 217-230
Volume 15, Number 3, April 2023
- Longbing Cao:
AI and data science for smart emergency, crisis and disaster resilience. 231-246 - Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh:
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA. 247-266 - Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie L. Mengersen:
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. 267-280 - Till D. Frank:
Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients. 281-290 - 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. 291-312 - Minyu Wan, Qi Su, Rong Xiang, Chu-Ren Huang:
Data-driven analytics of COVID-19 'infodemic'. 313-327 - Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov:
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire. 329-346
Volume 15, Number 4, May 2023
- Victor Christen, Tim Häntschel, Peter Christen, Erhard Rahm:
Privacy-preserving record linkage using autoencoders. 347-357 - Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. 359-378 - Pierre Miasnikof, Alexander Y. Shestopaloff, Andrei M. Raigorodskii:
Statistical power, accuracy, reproducibility and robustness of a graph clusterability test. 379-390 - V. Vivekanand, Deepak Mishra:
Performance measure for sparse recovery algorithms in compressed sensing perspective. 391-406 - Octavio Loyola-González:
Process mining: software comparison, trends, and challenges. 407-420 - Emilie Ramsahai, Navin Dookeram, Darren Ramsook, Jason R. Rameshwar, Abdu B. Yearwood, Annamika Bachoo, Koffka Khan:
Crime prediction in Trinidad and Tobago using big data analytics. 421-432
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