Understanding multiple types of data source and correlating them make intelligence analysis a challenging task. Visual analytics techniques help analysts better comprehend the data and find correlations. We proposed a visual analytics system mainly designed for collecting and correlating evidence in intelligence analysis. Based on our system, we provided a analytical solution for IEEE VAST Challenge 2014 Grand Challenge. With the system, analysts collect information from spatial, temporal and network data. Multiple correlating methods are provided to help analysts generate a wide range of hypotheses and test their reliability. ? 2014 IEEE.EI
Gaining insights from different heterogeneous data sources is one of the biggest challenges in decis...
Abstract. In the Future Internet, Big Data can not only be found in the amount of traffic, logs or a...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...
International audienceIn this paper, we present the field of Electronic Intelligence (ELINT) and the...
Visual Analytics (VA) is an emerging technique for logical reasoning using interactive computational...
In today's applications data is produced at unprecedented rates. While the capacity to collect and s...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
Big data poses many facets and challenges when analyzing data, often described with the five big V’s...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Never before in history data has been generated and collected in such high volumes as it is today. K...
The information overload is a well-known phenomenon of the information age, since due to the progres...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
Abstract: One of the most important challenges of the emerging Information Age is to effectively uti...
In this paper we discuss various aspects in intelligence analysis relating to provenance and the new...
Gaining insights from different heterogeneous data sources is one of the biggest challenges in decis...
Abstract. In the Future Internet, Big Data can not only be found in the amount of traffic, logs or a...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...
International audienceIn this paper, we present the field of Electronic Intelligence (ELINT) and the...
Visual Analytics (VA) is an emerging technique for logical reasoning using interactive computational...
In today's applications data is produced at unprecedented rates. While the capacity to collect and s...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
Big data poses many facets and challenges when analyzing data, often described with the five big V’s...
Never before in history data has been generated and collected in such high volumes as it is today. K...
Never before in history data has been generated and collected in such high volumes as it is today. K...
The information overload is a well-known phenomenon of the information age, since due to the progres...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of t...
Abstract: One of the most important challenges of the emerging Information Age is to effectively uti...
In this paper we discuss various aspects in intelligence analysis relating to provenance and the new...
Gaining insights from different heterogeneous data sources is one of the biggest challenges in decis...
Abstract. In the Future Internet, Big Data can not only be found in the amount of traffic, logs or a...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...