Projecting multidimensional data to a lower-dimensional visual display as a scatter-plot-like visualization is a common approach for analyzing multidimensional data. Many dimension reduction techniques exist for performing ...

In recent years, the quantity of content generated by news agencies and blogs is constantly growing, making it difficult for readers to process and understand this overwhelming amount of data. Online news aggregators present ...

Recently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. ...

Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail ...

Information retrieval provides to date effective methods to search for documents relevant to user queries, and to support exploration of clusters of similar documents. Typically, the retrieval relies on text-based queries ...

The visualization community has developed to date many intuitions and understandings of how to judge the quality of views in visualizing data. The computation of a visualization's quality and usefulness ranges from measuring ...

We present an interactive visual music classification tool that will allow users to automatically structure music collections in a personalized way. With our approach, users play an active role in an iterative process of ...

High-dimensional data poses a significant challenge for analysis, as patterns typically exist only in subsets of dimensions or records. A common approach to reveal patterns, such as meaningful structures or relationships, ...