[News Viscovery]
Vienna / Austria, 29 June 2018 Viscovery has launched version 7.2 of its Viscovery® SOMine® visual data mining suite. The new version offers a set of features for improved performance in Big Data preprocessing, as well as for advanced annotation and interpretation of explorative models on multiple semantic levels.
Viscovery® SOMine® v7.2 comes with considerable performance improvements for preprocessing of Big Data. By using single-instance caching in data and model processing, the runtime for applying bulky definitions of nominal variables has been significantly reduced.
Annotation of the map with textual labels has been extended to allow thumbnails. For example, an associated image document, such as a photo, can be displayed at the location in the Viscovery map to which a patient has been classified. Another new feature allows users to manage labels, group them hierarchically, and hide or show these groupings. This helps users annotate and interpret the Viscovery map on different semantic levels.
The complete list of innovations is available at viscovery.net/data-sheets.