MLDQ 2019 - International Workshop on Machine Learning and Data Quality for Mobile Data Management (MLDQ 2019)

The primary goal of the proposed workshop is to bring researchers and practitioners from academia and industry together to explore opportunities for AI techniques for enhancing mobile data management. In particular, special emphasis would be given to how machine learning techniques such as unsupervised learning, supervised or reinforced learning and transfer learning could be used for enhancing query processing or optimizing index structures, or providing better user interfaces, or evaluating the quality of moible data.
Topics Of Interest
Topics of interest include, but are not restricted to:
Deep learning for mobile data management
Novel training methods for large scale machine learning with mobile data
Natural language queries for moving objects databases
Re-inforcement Learning for Mobile Database Tuning
Evaluating the quality of mobile data, e.g., GPS recordsi
Data cleaning for moible data
Performance implications of AI-enabled queries
Case studies of AI-accelerated workloads for mobile data management