activity
20112019
most citedAn End-to-end Neural Natural Language Interface for Databases

26 citations · 56 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2019★ 4 cited

DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

Nathaniel Weir, Andrew Crotty, Alex Galakatos +9

This paper describes DBPal, a new system to translate natural language utterances into SQL statements using a neural machine translation model. While other recent approaches use ne…

cs.DB2018★ 26 cited

An End-to-end Neural Natural Language Interface for Databases

Prasetya Utama, Nathaniel Weir, Fuat Basik +6

The ability to extract insights from new data sets is critical for decision making. Visual interactive tools play an important role in data exploration since they provide non-techn…

cs.DB2016★ 1 cited

Revisiting Reuse in Main Memory Database Systems

Kayhan Dursun, Carsten Binnig, Ugur Cetintemel +1

Reusing intermediates in databases to speed-up analytical query processing has been studied in the past. Existing solutions typically require intermediate results of individual ope…

cs.DB2015★ 10 cited

The End of Slow Networks: It's Time for a Redesign

Carsten Binnig, Andrew Crotty, Alex Galakatos +2

Next generation high-performance RDMA-capable networks will require a fundamental rethinking of the design and architecture of modern distributed DBMSs. These systems are commonly…

cs.DB2015

S-Store: Streaming Meets Transaction Processing

John Meehan, Nesime Tatbul, Stan Zdonik +10

Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. Heretofore, these two mo…

cs.DB2014★ 13 cited

Tupleware: Redefining Modern Analytics

Andrew Crotty, Alex Galakatos, Kayhan Dursun +3

There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the data and infrastructure of the Googles a…

cs.DB2011★ 2 cited

The VC-Dimension of Queries and Selectivity Estimation Through Sampling

Matteo Riondato, Mert Akdere, Ugur Cetintemel +2

We develop a novel method, based on the statistical concept of the Vapnik-Chervonenkis dimension, to evaluate the selectivity (output cardinality) of SQL queries - a crucial step i…