DATA ANALYTICS 2022 - The Eleventh International Conference on Data Analytics
November 13, 2022 - November 17, 2022
DATA ANALYTICS 2022: Awards
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers (also Invited for IARIA Journals)
Aircraft Path Planning for UAM Applications
Silvio Semanjski, Ignacio Querol Puchal, Ronald Ponguillo-Intriago, Ivana Semanjsk
Shapley Values based Regional Feature Importance Measures Driving Error Analysis in Manufacturing
Valentin Göttisheim, Holger Ziekow, Ulf Schreier, Alexander Gerling
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Overview of European Union Guidelines and Regulatory Framework for Drones in Aviation in the Context of the Introduction of Automatic and Autonomous Flight Operations in Urban Air Mobility
Elham Fakhraian, El-Houssaine Aghezzaf, Silvio Semanjski, Ivana Semanjski
Privacy Protected Identification of User Clusters in Large Organizations based on Anonymized Mattermost User and Channel Information
Igor Jakovljevic, Martin Pobaschnig, Christian Gütl, Andreas Wagner
Practices for Data Sharing: An Empirical Survey
Andrei Raoul Morariu, Bogdan Iancu, Jerker Björkqvist
Using Deep Learning for Automated Tail Posture Detection of Pigs
Jan-Hendrik Witte, Johann Gerberding, Jorge Marx Gómez
The Use of Multi-Step Markov Chains in the Characterization of English Literary Works
Clement Leung, Chenjie Zeng
Towards Style Classification for Fashion Recommender Systems
René Kessler, Jorge Marx Gómez