ALLDATA 2023 - The Ninth International Conference on Big Data, Small Data, Linked Data and Open Data
April 24, 2023 - April 28, 2023
ALLDATA 2023: 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)
An Industrial Manufacturing Dataset together with Anomaly Detection Results integrated in an Open & Stand Alone Sharing Platform for Sustainable Replication
Gerold Hoelzl, Bastian Fleischmann, Sebastian Soller, Jonas Zausinger, Matthias Kranz
A Framework for Digital Data Quality Assessment in Digital Biomarker Research
Hui Zhang, Regan Giesting, Leah Miller, Guangchen Ruan, Neel Patel, Ju Ji, Tianran Zhang, Yi Lin Yang
Small Dataset Acquisition for Machine Learning Analysis of Industrial Processes with Possible Uncertainties
Xukuan Xu, Felix Conrad, Andreas Gronbach, Michael Möckel
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
Seeking Higher Performance in Real-Time Data Processing through Complex Event Processing
Guadalupe Ortiz, Adrián Bazan-Muñoz, Pablo Caballero-Torres, Jesús Rosa-Bilbao, Inmaculada Medina-Bulo, Juan Boubeta-Puig Boubeta-Puig, Alfonso García-de-Prado
Software Monitoring of an IoT Chain Communicating over LoRaWAN
Mohamed El Kharroubi, Fabrice Mourlin
Investigating the Potential for Open Government Data (OGD) in Qatar
Ali Albinali, Russell Lock, Iain Phillips