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          <dc:title>Entropy Bounds for Conjunctive Queries with Functional Dependencies</dc:title>
          <dc:creator>Gogacz, Tomasz</dc:creator>
          <dc:creator>Torunczyk, Szymon</dc:creator>
          <dc:subject>database theory</dc:subject>
          <dc:subject>conjunctive queries</dc:subject>
          <dc:subject>size bounds</dc:subject>
          <dc:subject>entropy</dc:subject>
          <dc:subject>finite groups</dc:subject>
          <dc:subject>entropy cone</dc:subject>
          <dc:description>We study the problem of finding the worst-case size of the result Q(D) of a fixed conjunctive query Q applied to a database D satisfying given functional dependencies. We provide a  characterization of this bound in terms of entropy vectors, and in terms of finite groups. In particular, we show that an upper bound provided by [Gottlob, Lee, Valiant and Valiant, J.ACM, 2012] is tight, and that a correspondence of [Chan and Yeung, ACM TOIT, 2002] is preserved in the presence of functional dependencies. However, tightness of a weaker upper bound provided by Gottlob et al., which would have immediate applications to evaluation of join queries ([Khamis, Ngo, and Suciu, PODS, 2016]) remains open. Our result shows that the problem of computing the worst-case size bound, in the general case, is closely related to difficult problems from information theory.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tomasz Gogacz and Szymon Torunczyk</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 68, 20th International Conference on Database Theory (ICDT 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:language>eng</dc:language>
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