In the last few years INAF-OACT developed a Visual Analytics environment based on VisIVO for the study of star-forming regions on our Galaxy. This allows an integrated analysis and exploitation of the combination of all new-generation surveys (from infrared to radio) from space missions and ground-based facilities, using a novel data and science analysis paradigm based on 2D/3D visualization and data mining frameworks. The pilot development of VR tool for SKA precursor data (in cooperation with Inter-University Institute for Data Intensive Astronomy - IDIA) allow scientists to navigate inside HI datacubes (e.g MeerKAT HI cubes) to validate the result of automated source finding (e.g performed by SOFIA, which is the reference software for ...
The complexity of the data generated by (magneto)-hydrodynamic (HD/MHD) simulations requires advance...
The information explosion requires the development of alternative data mining procedures that speed ...
We present a novel collaborative visual analytics application for cognitively overloaded users in th...
We present a visual analytics tool, based on the VisIVO suite, to exploit a combination of all new-g...
Scientists across all disciplines increasingly rely on machine learning algorithms to analyse and so...
The information explosion in astronomy requires the development of data mining procedures that speed...
The research leading to these results has received funding from the European Union Seventh Framework...
The growth rate at which radio astronomy data is captured is accelerating thanks to recent developme...
Due to increasing data complexity, researchers are struggling to visually explore data using traditi...
In the past ten years, the concept of Virtual Observatory (VObs) has increasingly gained importance ...
Background: Visual data mining is a powerful but difficult to utilise methodology for big dataset an...
Effective data visualization is a key part of the discovery process in the era of “big data”. It is ...
Visual Analytics (VA) is a discipline that integrates computational and human efforts, allowing for ...
The exponentially increasing amount of Earth Observation (EO) data requires novel approaches for dat...
Upcoming H I surveys will deliver large datasets, and automated processing using the full 3-D inform...
The complexity of the data generated by (magneto)-hydrodynamic (HD/MHD) simulations requires advance...
The information explosion requires the development of alternative data mining procedures that speed ...
We present a novel collaborative visual analytics application for cognitively overloaded users in th...
We present a visual analytics tool, based on the VisIVO suite, to exploit a combination of all new-g...
Scientists across all disciplines increasingly rely on machine learning algorithms to analyse and so...
The information explosion in astronomy requires the development of data mining procedures that speed...
The research leading to these results has received funding from the European Union Seventh Framework...
The growth rate at which radio astronomy data is captured is accelerating thanks to recent developme...
Due to increasing data complexity, researchers are struggling to visually explore data using traditi...
In the past ten years, the concept of Virtual Observatory (VObs) has increasingly gained importance ...
Background: Visual data mining is a powerful but difficult to utilise methodology for big dataset an...
Effective data visualization is a key part of the discovery process in the era of “big data”. It is ...
Visual Analytics (VA) is a discipline that integrates computational and human efforts, allowing for ...
The exponentially increasing amount of Earth Observation (EO) data requires novel approaches for dat...
Upcoming H I surveys will deliver large datasets, and automated processing using the full 3-D inform...
The complexity of the data generated by (magneto)-hydrodynamic (HD/MHD) simulations requires advance...
The information explosion requires the development of alternative data mining procedures that speed ...
We present a novel collaborative visual analytics application for cognitively overloaded users in th...