IEEE Access special issue on Machine and Deep Learning.
The topics of interest include, but are not limited to:
- Real time implementation of machine and deep learning,
- System level implementation, considering full pipeline from raw data until the decision layer
- Novel and innovative applications with strong emphasis on design and implementation
- Novel approaches for Temporal / Spatial/Spatio-Temporal Association analysis
- Pattern discovery from Time stamped Temporal and Interval databases
- High performance data mining in cloud
- Novel approaches for handling Uncertain and Imbalanced data
- Supervised/Unsupervised techniques for mining healthcare data
- Deep learning for translational bio-informatics
- Periodic/Sequential pattern mining
- Evolutionary algorithms
- Privacy-Preserving Data mining
- Time series similarity and Irregular temporal data analysis
- Mining Text Web and Social network data
- Imputation techniques for Temporal data
- Causality and Event Processing
- Applications of Data Mining in Anomaly and Intrusion detection
- Applications to medical informatics