Viscovery® Data Mining: Improving rockets, race cars and more

[News Viscovery]

Vienna / Austria, 23 October 2018 The Viscovery team has compiled a selection of scientific articles covering diverse applications in explorative data mining, clustering, and predictive analytics. With this collection, data analysts can leverage a wealth of experience that Viscovery users have gained through the use of self-organizing maps in a variety of application areas.

Out of several hundred publications, a representative selection of more than 180 articles has been listed on the Viscovery website. Each citation is supplemented by a brief description of the objective and a download link to the corresponding article.

Analytical application areas range from drug design, healthcare and nutrition to social development, customer analytics, crime and security, banking and economics to sensor data analysis and industrial engineering. In aerodynamic design engineering alone, you can read how Viscovery was used to optimize the design parameters of airliners, helicopters and drones, supersonic aircrafts, rockets and race cars.

The full list of publications is available at viscovery.net/scientific-articles.

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