December 2019 – BigData and VLDB
Four papers presented at IEEE BigData 2019:
- DAOC: Stable Clustering of Large Networks
- Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!
- CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding and
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
- Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series accepted at VLDB 2020