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          <dc:title>Covers of Query Results</dc:title>
          <dc:creator>Kara, Ahmet</dc:creator>
          <dc:creator>Olteanu, Dan</dc:creator>
          <dc:subject>factorized database</dc:subject>
          <dc:subject>fractional hypertree decomposition</dc:subject>
          <dc:subject>functional aggregate query</dc:subject>
          <dc:subject>minimal edge cover</dc:subject>
          <dc:subject>query plan</dc:subject>
          <dc:description>We introduce succinct lossless representations of query results called covers. They are subsets of the query results that correspond to minimal edge covers in the hypergraphs of these results.&#13;
&#13;
We first study covers whose structures are given by fractional hypertree decompositions of join queries. &#13;
For any decomposition of a query, we give asymptotically tight size bounds for the covers of the query result over that decomposition and show that such covers can be computed  in worst-case optimal time up to a logarithmic factor in the database size. For acyclic join queries, we can compute covers compositionally using query plans with a new operator called cover-join. The tuples in the query result can be enumerated from any of its covers with linearithmic pre-computation time and constant delay.&#13;
&#13;
We then generalize covers from joins to functional aggregate queries that express a host of computational problems such as aggregate-join queries, in-database optimization, matrix chain multiplication, and inference in probabilistic graphical models.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ahmet Kara and Dan Olteanu</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 98, 21st International Conference on Database Theory (ICDT 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2018.16</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-86100</dc:identifier>
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          <dc:language>eng</dc:language>
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