Scientific Publications

@inproceedings{Sina2020,

title = {Visual Dashboards in Trend Analytics to Observe Competitors and Leading Domain Experts},

author = {Lennart Sina and Dirk Burkhardt and Kawa Nazemi},

editor = {Haithem Afli and Udo Bleimann and Dirk Burkhardt and Robert Loew and Stefanie Regier and Ingo Stengel and Haiying Wang and Huiru (Jane) Zheng},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2021/02/2020cerc-ii.pdf, Paper as PDF

http://ceur-ws.org/Vol-2815/CERC2020_paper14.pdf, Paper on CEUR-WS

http://ceur-ws.org/Vol-2815/, Proceedings on CEUR-WS},

issn = {1613-0073},

year  = {2020},

date = {2020-09-11},

booktitle = {Proceedings of the 6th Collaborative European Research Conference (CERC 2020)},

volume = {Vol. 2815},

pages = {222-235},

publisher = {CEUR-WS.org},

address = {Aachen, Germany},

series = {CEUR Workshop Proceedings},

abstract = {The rapid change due to digitalization challenge a variety of market players and force them to find strategies to be aware of developments in these markets, particularly those that impact their business. The main challenge is what a practical solution could look like and how technology can support market players in these trend observation tasks. The paper outlines therefore a technological solution to observe specific authors e.g. researchers who influence a certain market or engineers of competitors. In many branches both are well-known groups to market players and there is almost always the need of a technology that supports the topical observation. This paper focuses on the concept of how a visual dashboard could enable a market observation and how data must be processed for it and its prototypical implementation which enables an evaluation later. Furthermore, the definition of a principal technological analysis for innovation and technology management is created and is also an important contribution to the scientific community that specifically considers the technology perspective and its corresponding requirements.},

note = {urn:nbn:de:0074-2815-0},

keywords = {Business Intelligence, information exploration, Innovation Management, Visual Analytics, Visual Trend Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Below2020,

title = {A Future Prospect for European Collaboration on Advanced Analytics in Economy and Society},

author = {Nicola Below and Dirk Burkhardt and Lukas Kaupp and Kawa Nazemi},

editor = {Haithem Afli and Udo Bleimann and Dirk Burkhardt and Robert Loew and Stefanie Regier and Ingo Stengel and Haiying Wang and Huiru (Jane) Zheng},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2021/02/2020cerc-ii.pdf, Paper as PDF 

http://ceur-ws.org/Vol-2815/CERC2020_paper27.pdf, Paper on CEUR-WS 

http://ceur-ws.org/Vol-2815/, Proceedings on CEUR-WS},

issn = {1613-0073},

year  = {2020},

date = {2020-09-11},

booktitle = {Proceedings of the 6th Collaborative European Research Conference (CERC 2020)},

volume = {Vol. 2815},

pages = {414-426},

publisher = {CEUR-WS.org},

address = {Aachen, Germany},

series = {CEUR Workshop Proceedings},

abstract = {Analytical Reasoning by applying machine learning approaches, artificial intelligence, NLP and visualizations allow to get deep insights into the different domains of various stakeholders and enable to solve complex tasks. Thereby the tasks are very heterogenous and subject of investigation in the different areas of application. These tasks or challenges should be defined by the stakeholders themselves and lead through a deep investigation to advanced analytical approaches. We therefore set up a strategic alliance of research, enterprises and societal organization with the goal of a strong collaboration to identify in a first step these challenges and workout technological solutions for each application scenario. We give in this paper a first draft of current challenges and technological advancements. The main contribution of this paper is next to an accurate description of the current challenges in the analytics domain, also the description of an agenda how these challenges can be solved. Furthermore, a process is explained, how the strategic alliance should act and organize their work to realize beneficial and useful analytical solutions.},

note = {urn:nbn:de:0074-2815-0},

keywords = {Business Intelligence, European network, research collaboration, strategic management, Trend Analytics},

pubstate = {published},

tppubtype = {inproceedings}

}