To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data-Reference-Cited by-同舟云学术

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To Not Miss the Forest for the Trees - A Holistic Approach for Explaining Missing Answers over Nested Data

Published:2021-06-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Management of Data
language:
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Author:

Diestelkämper Ralf¹,Lee Seokki²,Herschel Melanie¹,Glavic Boris³

Affiliation:

1. Universität Stuttgart - IPVS, Stuttgart, Germany

2. University of Cincinnati, Cincinnati, OH, USA

3. Illinois Institute of Technology, Chicago, IL, USA

Funder

NSF (National Science Foundation)

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3448016.3457249

Reference42 articles.

1. Putting lipstick on pig

2. Schema and ontology matching with COMA++

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1. Why Not Yet: Fixing a Top-k Ranking that is Not Fair to Individuals;Proceedings of the VLDB Endowment;2023-05

2. Hybrid Query and Instance Explanations and Repairs;Companion Proceedings of the ACM Web Conference 2023;2023-04-30

3. Provenance-based Explanations for Machine Learning (ML) Models;2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW);2023-04

4. Efficiently Answering Why-Not Questions on Radius-Bounded k-Core Searches;Database Systems for Advanced Applications;2023

5. Erebus;Proceedings of the VLDB Endowment;2022-10

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