DBKDA 2025 - The Seventeenth International Conference on Advances in Databases, Knowledge, and Data Applications
March 09, 2025 - March 13, 2025
DBKDA 2025: Awards
Onsite and Online Options: In order to accommodate various 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)
Towards Extracting Entity Relationship Diagrams from Unstructured Text using Natural Language Processing
Vaihunthan Vyramuthu, Gregor Grambow
Exploring Latent Concepts in SHAP Values -A New Approach Using Singular Value Decomposition -
Yukari Shirota, Tamaki Sakura
Evaluating the Potential of SHAP-Based Feature Selection for Improving Performance
Ashis Kumar Mandal, Basabi Chakraborty
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
Visualizing Proximity of Audio Signals from Different Musical Instruments - A Two Step Approach
Goutam Chakraborty, Cedric Bornand, Lokesh Reddy, Subhash Molaka, Pawan Reddy, Lakshman Patti
Privacy-preserving Data Sharing Collaborations: Architectural Solutions and Trade-off Analysis
Michiel Willocx, Vincent Reniers, Dimitri Van Landuyt, Bert Lagaisse, Wouter Joosen,, Vincent Naessens
On the Performance of Query Optimization Without Cost Functions and Very Simple Cardinality Estimation
Daniel Flachs, Guido Moerkotte
Decentralized Browser-based Cloud Storage: Leveraging IPFS for Enhanced Privacy
Georg Eilnberger, Timea Pahi, Peter Kieseberg
An Evaluation of Reliability on Pair-wise Comparison Matrix in Fuzzy Data AHP [PRESENTATION]
Shin-ichi Ohnishi, Takahiro Yamanoi
Evolving the Automated Search for Clusters of Similar Trajectory Groups
Friedemann Schwenkreis