Why not yet: Fixing a top-k ranking that is not fair to individuals
This work considers why-not questions in the context of top-k queries and score-based
ranking functions. Following the popular linear scalarization approach for multi-objective …
ranking functions. Following the popular linear scalarization approach for multi-objective …
Toward interpretable and actionable data analysis with explanations and causality
S Roy - Proceedings of the VLDB Endowment, 2022 - dl.acm.org
We live in a world dominated by data, where users from different fields routinely collect,
study, and make decisions supported by data. To aid these users, the current trend in data …
study, and make decisions supported by data. To aid these users, the current trend in data …
Summarizing provenance of aggregate query results in relational databases
Data provenance is any information about the origin of a piece of data and the process that
led to its creation. Most database provenance work has focused on creating models and …
led to its creation. Most database provenance work has focused on creating models and …
Provenance in relational databases: usability and applications
O AlOmeir - 2023 - open.library.ubc.ca
Data provenance is any information about the origin of a piece of data and the process that
led to its creation. Most database provenance work has focused on creating models and …
led to its creation. Most database provenance work has focused on creating models and …
Enhancing Explanation Generation in the CaJaDe System Using Interactive User Feedback
J Lee - 2022 - search.proquest.com
In today's data-driven world, it is becoming increasingly difficult to interpret and understand
query results after going through several manipulation steps, especially on a large …
query results after going through several manipulation steps, especially on a large …