1st Workshop on Data Management for End-to-End Machine Learning
(DEEM 2017)
May 14th, 2017
Raleigh, North Carolina

 

The DEEM workshop will be held in conjunction with SIGMOD/PODS 2017 in Raleigh, North Carolina. DEEM aims to bring 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 either be short papers (4 pages) or long papers (up to 10 pages) following the ACM proceedings format.

• Areas of particular interest for the workshop include (but are not limited to):
  
• Data Management in Machine Learning Applications
  
• Definition, Execution and Optimization of Complex Machine Learning Pipelines
  
• Systems for Managing the Lifecycle of Machine Learning Models
  
• Systems for Efficient Hyperparameter Search and Feature Selection
  
• Machine Learning Services in the Cloud
  
• Modeling, Storage and Lineage of Machine Learning experimentation data
  
• Integration of Machine Learning and Dataflow Systems
  
• Integration of Machine Learning and ETL Processing
  
• Data Cleaning and Data Integration in Machine Learning applications
  
• Benchmarking of Machine Learning Applications
  
• Definition and Execution of Complex Ensemble Predictors
  
• Architectures for Streaming Machine Learning

Important Dates

Submission Deadline: February 1, 2017
Submission Website: https://cmt3.research.microsoft.com/DEEM2017/
Notification of Acceptance: March 1, 2017
Final papers due: March 20, 2017
Workshop: May 14th, 2017

User Name : shaun
Posted 19-10-2016 on 10:47:40 AEDT

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