The Fourteenth International Conference on Advances in Databases, Knowledge, and Data Applications

DBKDA 2022

May 22, 2022 to May 26, 2022 - Venice, Italy

Deadlines

Submission

Feb 24, 2022

Notification

Mar 22, 2022

Registration

Apr 03, 2022

Camera ready

Apr 10, 2022

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA XPS Press

Archived in the free access ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

DBKDA 2022 - The Fourteenth International Conference on Advances in Databases, Knowledge, and Data Applications

May 22, 2022 - May 26, 2022

DBKDA 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)

Hybrid Intelligence in Data Privacy Solutions
Marek R. Ogiela, Lidia Ogiela

Conflict-free Replicated Hypergraphs
Aruna Bansal

 

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

Context-aware Data Plausibility Check Using Machine Learning
Mohaddeseh Basiri, Johannes Himmelbauer, Lisa Ehrlinger, Mihhail Matskin

Comparison of Experiment Tracking Frameworks in Machine Learning Environments
Tim Budras, Maximilian Blanck, Tilmann Berger, Andreas Schmidt

Technical Co-Sponsors and Logistic Supporters