Introduction
The DEEM workshop will be held in conjunction with SIGMOD/PODS 2017. DEEM brings together researchers and practitioners at the intersection of applied machine learning, data management and systems research, with the goal to discuss the arising data management issues in ML application scenarios.
The workshop solicits regular research papers describing preliminary and ongoing research results. In addition, the workshop encourages the submission of industrial experience reports of end-to-end ML deployments. Submissions can be short papers (4 pages) or long papers (up to 10 pages) following the ACM proceedings format.
Call for paper
Important date
Submission Topics
Areas of particular interest for the workshop include (but are not limited to):
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Data Management in Machine Learning Applications
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Definition, Execution and Optimization of Complex Machine Learning Pipelines
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Systems for Managing the Lifecycle of Machine Learning Models
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Systems for Efficient Hyperparameter Search and Feature Selection
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Machine Learning Services in the Cloud
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Modeling, Storage and Lineage of Machine Learning experimentation data
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Integration of Machine Learning and Dataflow Systems
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Integration of Machine Learning and ETL Processing
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Data Cleaning and Data Integration in Machine Learning applications
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Benchmarking of Machine Learning Applications
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Definition and Execution of Complex Ensemble Predictors
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Architectures for Streaming Machine Learning
All Comments
Important Date
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May 14
2017
Conference Date
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Feb 17 2017
Draft paper submission deadline
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Mar 17 2017
Draft Paper Acceptance Notification
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Mar 31 2017
Final Paper Deadline
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May 14 2017
Registration deadline
Contact Information
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