MoDU 2023: Management of Data under Uncertainty Barcelona, Spain, September 4, 2023 |
Conference website | https://modu2023.lis-lab.fr |
Submission link | https://easychair.org/conferences/?conf=modu2023 |
Submission deadline | April 24, 2023 |
GENERAL INFORMATION
In the era of big data and Machine learning, the issue of uncertainty, is still an active research topic. Uncertainty needs to be managed at various levels of data management process: data collection, data querying, machine learning and data analytics. Forinstance, the presence of uncertainty can be source of semantics errors during query evaluation. Moreover, traditional machine learning and deep learning models do not consider uncertainty in data and predictions while they are prone to noises. Then, quantifying uncertainty is a critical challenge for most machine learning techniques. From analytics perspective, the presence of uncertainty and imprecision can cause inaccuracies in predictions that may impact the quality of the data analytics procedures themselves.
GOAL OF THE WORKSHOP
The aim of the workshop is to allow academics and industrial from various areas to share their experiences on management of uncertain data. Authors are encouraged to submit their research work and case studies addressing all facets of uncertainty and showing the usefulness of their approaches in different application domains.
LIST OF TOPICS
We seek contributions covering all aspects of data management under uncertainty, including, but not limited to, the following topics:
Uncertainty in data collection and querying:
• Incompleteness, ambiguity, inconsistency in data
• Aleatoric and epistemic uncertainty
• Uncertainty Modeling
• Querying uncertain data
• Approximate query
• Uncertain data fusion
Uncertainty in ML and Deep learning models:
• Prediction models for uncertain data
• Uncertainty quantification in deep and machine learning
• Uncertainty in data labeling
• Reasoning under uncertainty
• Uncertain data and conformal approaches
Uncertainty in data analytics:
• Uncertainty and Imprecision in (big) data management and Analytics
• Uncertain Spatial Data Management
• Data mining on uncertain data
• Metrics for uncertainty and data quality
• Uncertainty quantification
SUBMISSION INSTRUCTIONS
Submissions should present original works not currently under review or published elsewhere. This workshop accepts research and industrial papers (regular: 12 pages max., and short: 6 pages max.) including novel approaches for management of uncertain data.
All papers should be submitted electronically via EasyChair
IMPORTANT DATES
• Paper submission: April 24, 2023
• Notification of paper acceptance: May 15, 2023
• Camera-ready due: June 9, 2023
WORKSHOP ORGANIZERS
• Richard Chbeir, Univ.Pau & Pays Adour, Anglet, France
• Allel Hadjali, Engineer School ENSMA, Poitiers, France
• Sana Sellami, Aix Marseille University, Marseille, France
PUBLICATION
The workshop papers will be published by Springer in Communications in Computer and Information Science (CCIS). The authors of selected workshop papers will be invited to submit an extended version of their contributions to a special issue of a well-established and ranked international journal (tbd).