Geospatial big data and cartography: research challenges and opportunities for making maps that matter

AC Robinson, U Demšar, AB Moore… - International Journal …, 2017 - Taylor & Francis
Geospatial big data present a new set of challenges and opportunities for cartographic
researchers in technical, methodological and artistic realms. New computational and …

A Survey on Cross‐Virtuality Analytics

B Fröhler, C Anthes, F Pointecker… - Computer Graphics …, 2022 - Wiley Online Library
Cross‐virtuality analytics (XVA) is a novel field of research within immersive analytics and
visual analytics. A broad range of heterogeneous devices across the reality–virtuality …

Visual analytics for dimension reduction and cluster analysis of high dimensional electronic health records

SS Abdullah, N Rostamzadeh, K Sedig, AX Garg… - Informatics, 2020 - mdpi.com
Recent advancement in EHR-based (Electronic Health Record) systems has resulted in
producing data at an unprecedented rate. The complex, growing, and high-dimensional data …

Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

L Chen, HN Liang, F Lu, K Papangelis, KL Man… - … -centric Computing and …, 2020 - Springer
Interactive visualizations are external tools that can support users' exploratory activities.
Collaboration can bring benefits to the exploration of visual representations or …

Multiple regression analysis and frequent itemset mining of electronic medical records: A visual analytics approach using VISA_M3R3

SS Abdullah, N Rostamzadeh, K Sedig, AX Garg… - Data, 2020 - mdpi.com
Medication-induced acute kidney injury (AKI) is a well-known problem in clinical medicine.
This paper reports the first development of a visual analytics (VA) system that examines how …

DCCP: an effective data placement strategy for data-intensive computations in distributed cloud computing systems

T Wang, S Yao, Z Xu, S Jia - The Journal of Supercomputing, 2016 - Springer
Cloud computing systems provide high-performance computing resources and distributed
storage space to deal with data-intensive computations. Data scheduling between data …

The usability gap in water resources open data and actionable science initiatives

MA Kenney, MD Gerst, E Read - JAWRA Journal of the …, 2024 - Wiley Online Library
The open data movement represents a major advancement for informed water management.
Data that are findable, accessible, interoperable, and reusable—or FAIR—are now …

Privacy-aware sharing and collaborative analysis of personal wellness data: Process model, domain ontology, software system and user trial

L Tuovinen, AF Smeaton - Plos one, 2022 - journals.plos.org
Personal wellness data collected using wearable devices is a valuable resource, potentially
containing knowledge that goes beyond what the device and its the associated software …

VERONICA: Visual analytics for identifying feature groups in disease classification

N Rostamzadeh, SS Abdullah, K Sedig, AX Garg… - Information, 2021 - mdpi.com
The use of data analysis techniques in electronic health records (EHRs) offers great promise
in improving predictive risk modeling. Although useful, these analysis techniques often suffer …

Integrating constraints into dimensionality reduction for visualization: A survey

VM Vu, A Bibal, B Frénay - IEEE Transactions on Artificial …, 2022 - ieeexplore.ieee.org
This survey reviews and organizes existing methods for integrating constraints into
dimensionality reduction (DR). In the world of high-dimensional data, DR methods help to …