About Deep Query

The focus of this project is to utilize recent developments in deep neural networks and associated models to improve the accuracy and efficiency of fundamental data and query processing operations. We are exploring query optimization, indexing, buffer management, sizing cloud workloads.
These include:

• Multiattribute selectivity estimations in numerical and categorical data
• Approximate query processing frameworks utilizing deep generative models
• Advanced data acquisition strategies to improve the accuracy of deep models
• Query processing techniques to speed up queries concerning explanations of deep models
• Frameworks for robust deep entity matching and deep entity explanations

Publications

• For relevant up to date publication see: Publication List