VANDA Glyphboard awarded @ IEEE VIS conference

October 24, 2019 ALL NEWS, RESEARCH

This week –  from 20 to  25 October 2019 – Mandy Keck and Thomas Gründer from Technische Universität Dresden represent the VANDA team in Vancouver and participate at the international IEEE VIS conference, which is the worldwide largest and most important conference on Information Visualization, Visual Analytics and Scientific Visualization.  The conference started on Sunday with many interesting and inspiring keynotes, talks and tutorials, such as Explainable AI, Visual Design and Analysis, and Visualizations for Machine Learning.

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RECAM-Project: Significant improvement of text mining

September 16, 2019 ALL NEWS, RESEARCH

From 2017 until end of August 2019 deecoob was successfully working on the research project “RECAM”. This was a cooperation project between deecoob Technology GmbH and the Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida (HSMW). The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media. The goal was to develop a technology for automated, computer-forensic investigation of use and misuse of copyrights at music events. The application uses web crawlers and full-text indexers and provides interfaces with Facebook, Instagram, Twitter, epaper, and Web pages. The purpose is to analyze, process, and qualify textual data from publicly available sources.

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Substantially developments from joint research project VANDA

August 16, 2019 ALL NEWS, RESEARCH

The industrial partners Mercateo AG, chemmedia AG and deecoob Technology GmbH, together with the Technische Universität Dresden (TUD), worked on the joint R&D project “Visual Analytics Interfaces for Big Data Environments – VANDA” in the period 2016 to 2019. The aim of this project was to address the so-called four “V´s” – Volume, Velocity, Variety and Veracity – as the challenge of Big Data driven interfaces and applications. The research work was carried out both in the backend area, i.e. the efficient processing of Big Data, and in the frontend, i.e. the intuitive visualization of Big Data. In the course of the project, best practice solutions for visualization and backend processes were researched, developed and implemented in the form of demonstrators.

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VANDA project team @ OUTPUT.DD 2019

June 22, 2019 ALL NEWS, CULTURE & PUBLIC, RESEARCH

In June 2019 we presented our research results at OUTPUT.DD and the 50 Years of university computer science education in Dresden celebration. OUTPUT.DD is the project presentation of the Faculty of Computer Science of the Technische Universität Dresden where research results are presented to the general public once a year.

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New MESLIS WebApp launched for global customers!

February 11, 2019 ALL NEWS, MESLIS HINTS & TIPS, MESLIS PUBLIC, MESLIS UPDATES

On February 11th 2019 deecoob has launched release 1.0.0 of the brand new MESLIS WebApp. MESLIS – Music-Event-System-Location-Ident-System (www.meslis.com) is a search engine and web monitoring solution tailored for global Collecting Societies. From today on all international customers can use MESLIS as Cloud based Software Application. There is no need for any local installation on the customer side. Just use a browser, login at https://app.meslis.com and start increasing your licensing business.

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Towards an Automated System for Music Event Detection

November 30, 2018 ALL NEWS, CULTURE & PUBLIC, RESEARCH

Together with our partner we are currently working on the research project “RECAM”. This is a cooperation project between deecoob Technology GmbH and the Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida, Germany. The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media. Our university partner has recently published a paper for the SEMAPRO 2018 conference: The Twelfth International Conference on Advances in Semantic Processing. The paper highlights some important results from the research project.

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