Scientific Publications

2020
2.		Burkhardt, Dirk; Nazemi, Kawa; Ginters, Egils Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in Visual Trend Analytics Proceedings Article In: Grabis, Janis; Romanovs, Andrejs; Kulesova, Galina (Ed.): 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), pp. 1-6, IEEE, 2020, ISBN: 978-1-7281-9105-8. Abstract \| Links \| BibTeX \| Tags: Adaptive Visualization, Logistics, Process Mining, Transportation, Trend Analytics, Visual Analytics @inproceedings{Burkhardt2020b, title = {Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in Visual Trend Analytics}, author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters}, editor = {Janis Grabis and Andrejs Romanovs and Galina Kulesova}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2020/11/2020itms-ii.pdf, Paper as PDF}, doi = {10.1109/ITMS51158.2020.9259309}, isbn = {978-1-7281-9105-8}, year = {2020}, date = {2020-11-19}, booktitle = {2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)}, pages = {1-6}, publisher = {IEEE}, abstract = {A variety of new technologies and ideas for businesses are arising in the domain of logistics and mobility. It can be differentiated between fundamental new approaches, e.g. central packaging stations or deliveries via drones and minor technological advancements that aim on more ecologically and economic transportation. The need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance is growing. The users’ behavior is commonly investigated in adaptive systems, which is considering the induvial preferences of users, but neglecting often the tasks and goals of the analysis. A process-related supports could assist to solve an analytical task in a more efficient and effective way. We introduce in this paper an approach that enables non-professionals to perform visual trend analysis through an advanced process assistance based on process mining and visual adaptation. This allows generating a process model based on events, which is the baseline for process support feature calculation. These features in form of visual adaptations and the process model enable assisting non-experts in complex analytical tasks.}, keywords = {Adaptive Visualization, Logistics, Process Mining, Transportation, Trend Analytics, Visual Analytics}, pubstate = {published}, tppubtype = {inproceedings} } Close A variety of new technologies and ideas for businesses are arising in the domain of logistics and mobility. It can be differentiated between fundamental new approaches, e.g. central packaging stations or deliveries via drones and minor technological advancements that aim on more ecologically and economic transportation. The need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance is growing. The users’ behavior is commonly investigated in adaptive systems, which is considering the induvial preferences of users, but neglecting often the tasks and goals of the analysis. A process-related supports could assist to solve an analytical task in a more efficient and effective way. We introduce in this paper an approach that enables non-professionals to perform visual trend analysis through an advanced process assistance based on process mining and visual adaptation. This allows generating a process model based on events, which is the baseline for process support feature calculation. These features in form of visual adaptations and the process model enable assisting non-experts in complex analytical tasks. Close Paper as PDF doi:10.1109/ITMS51158.2020.9259309 Close
2019
1.		Nazemi, Kawa; Burkhardt, Dirk Visual analytical dashboards for comparative analytical tasks – a case study on mobility and transportation Journal Article In: ICTE in Transportation and Logistics 2018 (ICTE 2018), vol. 149, pp. 138-150, 2019, ISSN: 1877-0509. Abstract \| Links \| BibTeX \| Tags: Data Analytics, Information Visualization, Mobility, Prediction, Transportation, Visual Analytics, Visual Interfaces, Visual Tasks @article{Nazemi2019, title = {Visual analytical dashboards for comparative analytical tasks – a case study on mobility and transportation}, author = {Kawa Nazemi and Dirk Burkhardt}, url = {https://dirk.burkhardt.xyz/wp-content/uploads/2019/04/2019icte-i.pdf, Download as PDF http://www.sciencedirect.com/science/article/pii/S1877050919301243, Link to Publisher}, doi = {10.1016/j.procs.2019.01.117}, issn = {1877-0509}, year = {2019}, date = {2019-01-01}, journal = {ICTE in Transportation and Logistics 2018 (ICTE 2018)}, volume = {149}, pages = {138-150}, publisher = {Elsevier}, series = {Procedia Computer Science}, abstract = {Mobility, logistics and transportation are emerging fields of research and application. Humans’ mobility behavior plays an increasing role for societal challenges. Beside the societal challenges these areas are strongly related to technologies and innovations. Gathering information about emerging technologies plays an increasing role for the entire research in these areas. Humans’ information processing can be strongly supported by Visual Analytics that combines automatic modelling and interactive visualizations. The juxtapose orchestration of interactive visualization enables gathering more information in a shorter time. We propose in this paper an approach that goes beyond the established methods of dashboarding and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual dashboards to enable solving complex tasks. We illustrate our main outcome through a case study that investigates the area of mobility and illustrates how complex analytical tasks can be performed easily by combining different visual interfaces.}, keywords = {Data Analytics, Information Visualization, Mobility, Prediction, Transportation, Visual Analytics, Visual Interfaces, Visual Tasks}, pubstate = {published}, tppubtype = {article} } Close Mobility, logistics and transportation are emerging fields of research and application. Humans’ mobility behavior plays an increasing role for societal challenges. Beside the societal challenges these areas are strongly related to technologies and innovations. Gathering information about emerging technologies plays an increasing role for the entire research in these areas. Humans’ information processing can be strongly supported by Visual Analytics that combines automatic modelling and interactive visualizations. The juxtapose orchestration of interactive visualization enables gathering more information in a shorter time. We propose in this paper an approach that goes beyond the established methods of dashboarding and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual dashboards to enable solving complex tasks. We illustrate our main outcome through a case study that investigates the area of mobility and illustrates how complex analytical tasks can be performed easily by combining different visual interfaces. Close Download as PDF Link to Publisher doi:10.1016/j.procs.2019.01.117 Close