DataMod 2020 aims at bringing together practitioners and researchers from academia, industry and research institutions interested in the combined application of computational modelling methods with data-driven techniques from the areas of knowledge management, data mining and machine learning. Modelling methodologies of interest include automata, agents, Petri nets, process algebras and rewriting systems. Application domains include social systems, ecology, biology, medicine, smart cities, governance, security, education, software engineering, and any other field that deals with complex systems and large amounts of data. Papers can present research results in any of the themes of interest for the symposium as well as application experiences, tools and promising preliminary ideas. Papers dealing with synergistic approaches that integrate modelling and knowledge management/discovery or that exploit knowledge management/discovery to develop/syntesise system models are especially welcome.
DATE 20 October 2020
LOCATION Online conference
DataMod is a satellite event of the International Conference on Information and Knowledge Management - CIKM .
Revised versions of accepted papers will be published after the Symposium in a LNCS volume published by Springer.
DataMod will be a fully virtual workshop.
On this basis deadlines for submissions have been updated.
We hope that you all stay safe in those exceptional circumstances.
20 OCTOBER 2020
20 October 2020 - a fully virtual conference
Please note that all workshop timeslots are GMT+1, which means the current British/Irish Summer Time.
Full Paper (20 minutes: 15 min presentation + 5 min discussion)
Short Paper (10 minutes: 8 min presentation + 2 min discussion)
Presentation Report (10 minutes: 8 min presentation + 2 min discussion)
Towards AI-driven Data Analysis and Fabrication
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
Exploring graph-based neural networks for automatic brain tumor segmentation
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction
A Simulation-based Approach for the Behavioural Analysis of Cancer Pathways
Discovering the impact of notifications on social network addiction
A simulation study on demand disruptions and limited resources for healthcare provision
A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory
Analysis of COVID-19 data with PRISM: preliminary thoughts
A Formal Model of Early Biofilm Formation
Query Rewriting On Path Views Without Integrity Constraints
Evaluating Trace Encoding Methods in Process Mining
Semantic Annotations in Clinical Guidelines
Deriving Performance Measures of Radiation Therapy Workflow from Real-Time Data
Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf
DataMod2020 will be held fully online. Presentation will be given via pre-recorded videos, followed by synchronized online discussions during the scheduled workshop period.
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