Geospatial big data and cartography: research challenges and opportunities for making maps that matter
Geospatial big data present a new set of challenges and opportunities for cartographic
researchers in technical, methodological and artistic realms. New computational and …
researchers in technical, methodological and artistic realms. New computational and …
A Survey on Cross‐Virtuality Analytics
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. A broad range of heterogeneous devices across the reality–virtuality …
Visual analytics for dimension reduction and cluster analysis of high dimensional electronic health records
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 …
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
Interactive visualizations are external tools that can support users' exploratory activities.
Collaboration can bring benefits to the exploration of visual representations or …
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
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 …
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 …
storage space to deal with data-intensive computations. Data scheduling between data …
The usability gap in water resources open data and actionable science initiatives
The open data movement represents a major advancement for informed water management.
Data that are findable, accessible, interoperable, and reusable—or FAIR—are now …
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
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 …
containing knowledge that goes beyond what the device and its the associated software …
VERONICA: Visual analytics for identifying feature groups in disease classification
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 …
in improving predictive risk modeling. Although useful, these analysis techniques often suffer …
Integrating constraints into dimensionality reduction for visualization: A survey
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 …
dimensionality reduction (DR). In the world of high-dimensional data, DR methods help to …