Call for Papers: DBML 2023 (ICDE Workshop)
Nantia Makrynioti
Call for Papers
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DBML2023 - International Workshop on Databases and Machine Learning in conjunction with ICDE 2023
https://www.wis.ewi.tudelft.nl/dbml2023
April 03, 2023 - Anaheim, CA, USA
About the workshop
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After the increased adoption of machine learning (ML) in various applications and disciplines, a synergy between the database (DB) systems and ML communities emerged. Steps involved in an ML pipeline, such as data preparation and cleaning, feature engineering and management of the ML lifecycle, can benefit from research conducted by the data management community. For example, the management of the ML lifecycle requires mechanisms for modelling, storing and querying ML artefacts. Moreover, in many use cases pipelines require a mixture of relational and linear algebra operators raising the question of whether a seamless integration between the two algebras is possible.
In the opposite direction, ML techniques are explored in core components of database systems, e.g., query optimization, indexing and monitoring. Traditionally hard problems in databases, such as cardinality estimation, or problems with high human supervision like DB administration, might benefit more from learning algorithms than from rule-based or cost-based approaches.
The workshop aims at bringing together researchers and practitioners in the intersection of DB and ML research, providing a forum for DB-inspired or ML-inspired approaches addressing challenges encountered in each of the two areas.
In particular, we welcome new research topics combining the strengths of both fields.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
The workshop will accept both regular papers (6 pages) and short papers (4 pages) - work in progress, vision/outrageous ideas.
Submission Website: https://easychair.org/conferences/?conf=dbml23
Important Dates
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Paper submission deadline: Jan 04, 2023
Authors notification: Feb 01, 2023
Camera ready version: Feb 13, 2023
Workshop day: Apr 3, 2023
List of Topics
Topics of particular interest in the workshop include, but are not limited to:
- Data collection and preparation for ML applications
- Declarative machine learning on databases, data warehouses or data lakes
- Hybrid optimization techniques for databases and machine learning
- Model-aware data discovery, cleaning, and transformation
- Benchmarking ML-oriented data management systems (data augmentation, data cleaning, etc)
- Data management during the lifecycle of ML models
- Novel data management systems for accelerating training and inference of ML models
- DB-inspired techniques for modelling, storage and provenance of ML artefacts
- Learned database design, configuration and tuning
- Machine learning for query optimization
- Applied machine learning/deep learning for data integration
- ML-enabled data exploration and discovery in data lakes
- ML functionality inside DBMs
Committees
Organising committee
- Rihan Hai (TU Delft)
- Nantia Makrynioti (RelationalAI)
- Kwanghyun Park (Microsoft GSL)
- Chengliang Chai (Tsinghua University)
- Andra Ionescu (TU Delft)
Venue
The workshop will take place in conjunction with ICDE 2023 in Anaheim, California, USA.
Contact
All questions about submissions should be emailed to Dr. Hai (R....@tudelft.nl), Dr. Makrynioti (nantia.m...@relational.ai) or Andra Ionescu (A.Ion...@tudelft.nl)