Visual Knowledge Discovery in Dynamic Enterprise Text Repositories

2009 ◽  
Author(s):  
Vedran Sabol ◽  
Wolfgang Kienreich ◽  
Markus Muhr ◽  
Werner Klieber ◽  
Michael Granitzer
Keyword(s):  
Knowledge Discovery ◽  
Visual Knowledge

scholarly journals Yewno Discover

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Manisha Bolina
Keyword(s):  
Machine Learning ◽  
Knowledge Discovery ◽  
Computational Linguistics ◽  
Full Text ◽  
Visual Knowledge ◽  
Library Resources ◽  
The Right

Yewno Discover helps students and researchers find precisely the right information they are searching for, regardless of discipline and especially if it is interdisciplinary information. This new kind of visual knowledge discovery tool uses machine learning and computational linguistics to literally read over 200 million full-text  articles and can guide users to the precise paragraph of information within this collection that is most valuable  to their search.  This practical workshop will enable you to learn more how you can use Yewno Discover to engage your patrons to get more of the library resources. Be sure to bring your laptop! 

Interactive visual knowledge discovery from data-based temporal decision support system

2015 ◽  
Vol 15 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Hela Ltifi ◽  
Emna Ben Mohamed ◽  
Mounir ben Ayed
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Discovery ◽  
Support System ◽  
Visual Analytics ◽  
Medical Knowledge ◽  
Visual Knowledge ◽  
Design Proposal ◽  
Representation Techniques

The article aims to present a generic interactive visual analytics solution that provides temporal decision support using knowledge discovery from data modules together with interactive visual representations. It bases its design decisions on classification of visual representation techniques according to the criteria of temporal data type, periodicity, and dimensionality. The design proposal is applied to an existing medical knowledge discovery from data–based decision support system aiming at assisting physicians in the fight against nosocomial infections in the intensive care units. Our solution is fully implemented and evaluated.

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