eKNOW 2023 - The Fifteenth International Conference on Information, Process, and Knowledge Management
April 24, 2023 - April 28, 2023
eKNOW 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)
Mining User Behavior: Inference of Time-boxed Usage Patterns from Household Generated Data
Ramona Tolas, Raluca Portase, Mihaela Dinsoreanu, Rodica Potolea
Usage of Audit Data Analytics within the Accountancy Sector
Lotte Verhoeven, Eric Mantelaers, Martijn Zoet
Prediction Pipeline on Time Series Data Applied for Usage Prediction on Household Devices
Raluca Portase, Ramona Tolas, Camelia Lemnaru, Rodica Potolea
VR-EDStream+EDA: Immersively Visualizing and Animating Event and Data Streams and Event-Driven Architectures in Virtual Reality
Roy Oberhauser
Commenter Behavior Characterization on YouTube Channels
Shadi Shajari, Nitin Agarwal, Mustafa Alassad
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
Tools Based on Word Embedding to Make Easy the Analysis of Emotions in Spanish Text
Jorge Silva Pedreros, Alejandra Segura-Navarrete, Christian Vidal-Castro, Claudia Martinez Araneda
Sentiment Analysis of Movie Reviews Using BERT
Gibson Nkhata, Usman Anjum, Justin Zhan
A Corpus Study with German Data Sets into the Similarity of Irony and Satire
Marisa Schmidt, Karin Harbusch