6 citations · 12 across the 9 of their papers we have counts for
9 papers
Text Mining to Identify and Extract Novel Disease Treatments From Unstructured Datasets
Rahul Yedida, Saad Mohammad Abrar, Cleber Melo-Filho +3
Objective: We aim to learn potential novel cures for diseases from unstructured text sources. More specifically, we seek to extract drug-disease pairs of potential cures to disease…
Assessing Achievability of Queries and Constraints
Rada Chirkova, Jon Doyle, Juan L. Reutter
Assessing and improving the quality of data in data-intensive systems are fundamental challenges that have given rise to numerous applications targeting transformation and cleaning…
DataSlicer: Task-Based Data Selection for Visual Data Exploration
Farid Alborzi, Surajit Chaudhuri, Rada Chirkova +5
In visual exploration and analysis of data, determining how to select and transform the data for visualization is a challenge for data-unfamiliar or inexperienced users. Our main h…
A Framework for Assessing Achievability of Data-Quality Constraints
Rada Chirkova, Jon Doyle, Juan L. Reutter
Assessing and improving the quality of data are fundamental challenges for data-intensive systems that have given rise to applications targeting transformation and cleaning of data…
WaveCluster with Differential Privacy
Ling Chen, Ting Yu, Rada Chirkova
WaveCluster is an important family of grid-based clustering algorithms that are capable of finding clusters of arbitrary shapes. In this paper, we investigate techniques to perform…
Obtaining Information about Queries behind Views and Dependencies
Rada Chirkova, Ting Yu
We consider the problems of finding and determining certain query answers and of determining containment between queries; each problem is formulated in presence of materialized vie…