AALTD22: Workshop on Advanced Analytics and Learning on Temporal Data ECML 2022, Grenoble, France Grenoble, France, September 19-23, 2022 |
Conference website | https://project.inria.fr/aaltd22/ |
Submission link | https://easychair.org/conferences/?conf=aaltd22 |
Abstract registration deadline | June 17, 2022 |
Submission deadline | June 22, 2022 |
The 7th International Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2022) will be held on the week of September 19-23, 2022, co-located with the ECML/PKDD 2022 hybrid conference (https://2022.ecmlpkdd.org) in Grenoble, France. The aim of this workshop is to bring together researchers and experts in machine learning, data mining, pattern analysis and statistics and create a platform for sharing research challenges, as well as advancing the research on temporal data analysis. Analysis and learning from temporal data covers a wide scope of tasks including learning metrics, learning representations, unsupervised feature extraction, clustering, classification and interpretation.
Submission Guidelines
Paper submission is managed through EasyChair (https://easychair.org/conferences/?conf=aaltd22) for the following two tracks:
- Oral presentation
- Poster session (including research in progress and demos)
Authors that would not want their papers to apply for possible oral presentation should inform the organizers at the time of submission. Submitted papers should be 6 to 16 pages long using the LNCS formatting style.
List of Topics
The workshop welcomes papers that cover, but are not limited to, one or several of the following topics:
- Temporal data clustering
- Classification and regression of univariate and multivariate time series
- Early classification of temporal data
- Deep learning for temporal data
- Learning representation for temporal data
- Metric and kernel learning for temporal data
- Modelling temporal dependencies
- Time series forecasting
- Time series annotation, segmentation and anomaly detection
- Spatial-temporal statistical analysis
- Functional data analysis methods
- Data streams
- Interpretable/explainable time-series analysis methods
- Dimensionality reduction, sparsity, algorithmic complexity and big data challenges
- Benchmarking and assessment methods for temporal data
- Applications, including bioinformatics, medical, energy consumption, etc. on temporal data.
We welcome contributions that address aspects including, but not limited to: novel techniques, innovative use and applications, techniques for the use of hybrid models. We also invite papers describing industry time series management platforms, in particular those that raise open questions for which there are no current off-the-shelf solutions.
Organizing committee
- Anthony Bagnall: University of East Anglia, England
- Thomas Guyet: Inria, A France
- Georgiana Ifrim: University College Dublin, Ireland
- Vincent Lemaire: Orange Labs, France
- Simon Malinowski: Université de Rennes 1, IRISA, France
- Patrick Schäfer: Humboldt University of Berlin, Germany
Publication
Since the 4th editions of the workshop, authors of selected papers will be invited for publication in a special volume in the Lecture Notes in Artificial Intelligence (Springer LNAI) series. The success of the workshop enables us to propose a standalone special volume of the AALTD Workshop (see LNAI N°13114 in 2021). We also plan to propose a special volume for this new workshop edition.
Venue
The workshop will be hybrid. It will be held in Grenoble, France, but it will be also possible to attend or present remotely.
Contact
All questions about submissions should be emailed to smalinow_at_irisa.fr.