The aim of the Promise Winter School on information retrieval and information visualization is to give participants a grounding in the core topics that constitute the multidisciplinary area of multilingual and multimedia information retrieval. Other topics of the school will include usability of systems, system evaluation, social media and several other related fields.

The school is a week-long event consisting of guest lectures from invited speakers who are recognized experts in the field of information retrieval and information visulization. [...]

Add another online destination to find the data that you need. DataMarket launched back in May with Icelandic data, but just a few days ago relaunched with data of the international variety. They tout 100 million time series datasets and 600 million facts. I’m not totally sure what that means (100 million lines, sets of [...]

The massive amount of financial data that originates from the stock markets generates large amounts of complex financial time series data of high interest. In their VAST 2010 paper, Ziegler and colleagues from the University of Konstanz, Germany introduce two techniques and applications that support the analysis of large amounts of financial time series data [...]

Hans Rosling’s famous lectures combine enormous quantities of public data with a sport’s commentator’s style to reveal the story of the world’s past, present and future development. Now he explores stats in a way he has never done before – using augmented reality animation. In this spectacular section of ‘The Joy of Stats’ he tells the story of the world in 200 countries over 200 years using 120,000 numbers – in just four minutes. Plotting life expectancy against income for every country since 1810, Hans shows how the world we live in is radically different from the world most of us imagine.

The objective of this workshop is to bring together researchers and practitioners that are developing and applying the state-of-the-art in visual analytics; to provide a forum for presentation and discussion of the newest both mature and greenhouse ideas, research and developments in visual analytics and supporting disciplines, and to identify the short- and long-term research directions in the field and preferences of the potential end users.

We solicit papers that will introduce new research results, present forward-looking positional statements, or define relevant research challenges.

The EU CORDIS site just released a news headline on VisMaster in different languages!

Applications supporting navigation in large networks are used every days by millions of people. They include road map navigators, high route visualization systems, and network visualization systems using node-link diagrams. These applications currently provide generic interaction methods for navigation: pan-and-zoom and sometimes bird’s eye views. This project explores the idea of exploiting the connection information [...]

Social networks collected by historians or sociologists typically have a large number of attributes associated with their actors, and applying analysis algorithms to these networks will produce additional attributes such as degree, centrality, and clustering coefficients. Understanding the effects of this plethora of graph attributes is one of the main challenges in multivariate social networks. [...]

One of the main Visual Analytics characteristics is the tight integration between automatic computation and interactive visualization. This generally corresponds to the availability of complex and powerful algorithms that allow for manipulating the data under analysis, transforming it in order to feed suitable visualizations. As an example, some Visual Analytics tools devoted to text analysis are based on the idea of extracting new data from the text (e.g., computing word frequencies or paragraph lengths) in order to produce visualizations that are based on these new derived pieces of information.

The adoption of Visual Analytics methodologies in security applications is an approach that could lead to interesting results. Usually, the data that has to be analyzed finds in a graphical representation its preferred nature, such as spatial or temporal relationships. Due to the nature of these applications, it is very important that key-details are made easy to identify. This article presents a visualization tool that graphically displays the movement of 82 employees of a department during an evacuation, of the building in which they were working, caused by an explosion of a bomb. Thirteen casual users were asked to identify potential suspects and observe what happened.