Multi-aspect-streaming tensor analysis
We extend the application of histograms to tensor analysis problem. We propose the first approach for multi-aspect-streaming tensor analysis (MASTA). MASTA is space-efficient, fast and constant-time for update. We evaluate the strengths and weaknesses of MASTA on 11 real-life data sets. The proposed approach is useful for both streaming and scalable problems.
tensor analysis data streams online histogram tensor decomposition streaming tensor analysis