-
2019/07/01
Our paper “BlockchainDB A – Shared Database on Blockchains” was accepted to VLDB 2019
We present BlockchainDB, which leverages blockchains as a storage layer and more..
-
2019/07/01
Our paper “DBPal: Weak Supervision for Learning a Natural Language Interface to Databases” was accepted for the “Conversational Access to Data (CAST) Workshop” at VLDB 2019
A new system to translate natural language utterances into SQL statements using a neural machine translation model
-
2019/06/12
Our papeer “Model-based Approximate Query Processing” was accepted to AIDB workshop at VLDB 2019
New approach to Approximate Query Processing (AQP) called Model-based AQP
-
2019/05/13
Our demo ProgressiveDB – Progressive Data Analytics as a Middleware was accepted to VLDB 2019
ProgressiveDB transforms any standard SQL database into a progressive database capable of continuous, approximate query processing.
-
2019/04/24
Our paper about a Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores was accepted to VLDB 2019
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores
-
2019/04/19
Our paper about interactive summarization was accepted to HILDA 2019
Interactive Summarization of Large Document Collections
-
2019/04/15
Our paper about learned Database partitioning was accepted to aiDM 2019
Towards Learning a Partitioning Advisor with Deep Reinforcement Learning
-
2019/03/22
Our paper about Interactive Curation of ML Pipelines was accepted to Sigmod 2019
Democratizing Data Science through Interactive Curation of ML Pipelines
-
2019/03/22
Our FITing-Tree paper was accepted to Sigmod 2019
FITing-Tree: A Data-aware Index Structure
-
2019/03/22
Our BlockchainDB demo was accepted to Sigmod 2019
BlockchainDB – Towards a Shared Database on Blockchains
News
