18 citations · 27 across the 10 of their papers we have counts for
11 papers
ChARLES: Change-Aware Recovery of Latent Evolution Semantics in Relational Data
Shiyi He, Alexandra Meliou, Anna Fariha
Data-driven decision-making is at the core of many modern applications, and understanding the data is critical in supporting trust in these decisions. However, data is dynamic and…
Development of Data Evaluation Benchmark for Data Wrangling Recommendation System
Yuqing Wang, Anna Fariha
CoWrangler is a data-wrangling recommender system designed to streamline data processing tasks. Recognizing that data processing is often time-consuming and complex for novice user…
Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities
Bhavya Chopra, Ananya Singha, Anna Fariha +4
Large Language Models (LLMs) are being increasingly employed in data science for tasks like data preprocessing and analytics. However, data scientists encounter substantial obstacl…
Rapidash: Efficient Constraint Discovery via Rapid Verification
Zifan Liu, Shaleen Deep, Anna Fariha +3
Denial Constraint (DC) is a well-established formalism that captures a wide range of integrity constraints commonly encountered, including candidate keys, functional dependencies,…
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez +5
Most users of low-code platforms, such as Excel and PowerApps, write programs in domain-specific formula languages to carry out nontrivial tasks. Often users can write most of the…
DataExposer: Exposing Disconnect between Data and Systems
Sainyam Galhotra, Anna Fariha, Raoni Lourenço +3
As data is a central component of many modern systems, the cause of a system malfunction may reside in the data, and, specifically, particular properties of the data. For example,…