Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Consider a scientist who wants to explore multiple data sets to select the relevant ones for further analysis. Since the visualization real estate may put a stringent constraint o...
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...