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Causality and Responsibility Problem on Probabilistic Reverse Skyline Queries

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Preference Query Analysis and Optimization

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Causality and responsibility is an essential tool in the database community for providing intuitive explanations for answers/non-answers to queries. Causality denotes the causes for the answers/non-answers to queries, and responsibility represents the degree of a cause which reflects its influence on the answers/non-answers to queries. In this paper, we study the causality and responsibility problem (CRP) for the non-answers to probabilistic reverse skyline queries (PRSQ). We first formalize CRP on PRSQ, and then, we propose an efficient algorithm termed as CP to compute the causality and responsibility for the non-answers to PRSQ. CP first finds candidate causes, and then, it performs verification to obtain actual causes with their responsibilities, during which several strategies are used to boost efficiency. Extensive experiments demonstrate the effectiveness and efficiency of our presented algorithms.

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Authors and Affiliations

  1. Zhejiang University, Hangzhou, Zhejiang, China

    Yunjun Gao

  2. Zhejiang University, Hangzhou, Zhejiang, China

    Qing Liu

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  1. Yunjun Gao
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  2. Qing Liu
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Correspondence to Yunjun Gao .

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Gao, Y., Liu, Q. (2017). Causality and Responsibility Problem on Probabilistic Reverse Skyline Queries. In: Preference Query Analysis and Optimization. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-6635-1_2

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  • DOI: https://doi.org/10.1007/978-981-10-6635-1_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6634-4

  • Online ISBN: 978-981-10-6635-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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