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The Shapley Value of Tuples in Query Answering

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arxiv 1904.08679 v5 pith:3IT24S3G submitted 2019-04-18 cs.DB

classification cs.DB
keywords valuegamemeasurequeryshapleybeencoalitioncontribution
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We investigate the application of the Shapley value to quantifying the contribution of a tuple to a query answer. The Shapley value is a widely known numerical measure in cooperative game theory and in many applications of game theory for assessing the contribution of a player to a coalition game. It has been established already in the 1950s, and is theoretically justified by being the very single wealth-distribution measure that satisfies some natural axioms. While this value has been investigated in several areas, it received little attention in data management. We study this measure in the context of conjunctive and aggregate queries by defining corresponding coalition games. We provide algorithmic and complexity-theoretic results on the computation of Shapley-based contributions to query answers; and for the hard cases we present approximation algorithms.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Uniform Reliability of Self-Join-Free Conjunctive Queries

    cs.DB 2019-08 conditional novelty 7.0 of 10

    Uniform reliability (counting satisfying subsets) for self-join-free conjunctive queries is #P-complete for every non-hierarchical query and polynomial-time for every hierarchical query.

  2. SHARQ: Explainability Framework for Association Rules on Relational Data

    cs.DB 2024-12 conditional novelty 6.0 of 10

    SHARQ defines and efficiently computes a Shapley-value-based contribution score for each element in a set of association rules, enabling element, rule, and attribute level explanations.

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