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20192026
most citedCausality-Guided Adaptive Interventional Debugging

18 citations · 28 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.DB2026

Recommendation Systems for Exploratory Data Tasks

Anna Fariha, Whanhee Cho

Exploratory Data Tasks (EDTs) involve iteratively steering workflows as users refine their subjective goals based on newly emerging insights. EDTs are performed by millions of user…

cs.DB2024

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…

cs.DB2024

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…

cs.DB2023

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,…

cs.DB2021★ 1 cited

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,…

cs.DB2020★ 18 cited

Causality-Guided Adaptive Interventional Debugging

Anna Fariha, Suman Nath, Alexandra Meliou

Runtime nondeterminism is a fact of life in modern database applications. Previous research has shown that nondeterminism can cause applications to intermittently crash, become unr…

cs.DB2020★ 1 cited

Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems

Anna Fariha, Ashish Tiwari, Arjun Radhakrishna +2

The reliability and proper function of data-driven applications hinge on the data's continued conformance to the applications' initial design. When data deviates from this initial…

cs.DB2019★ 1 cited

Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity

Anna Fariha, Alexandra Meliou

Traditional relational data interfaces require precise structured queries over potentially complex schemas. These rigid data retrieval mechanisms pose hurdles for non-expert users,…