Works matching IS 10668888 AND DT 2018 AND VI 27 AND IP 5
Results: 7
Compressed linear algebra for large-scale machine learning.
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- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 719, doi. 10.1007/s00778-017-0478-1
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- Article
Special issue on best papers of VLDB 2016.
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- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 593, doi. 10.1007/s00778-018-0520-y
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- Article
Adding data provenance support to Apache Spark.
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- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 595, doi. 10.1007/s00778-017-0474-5
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- Article
Package queries: efficient and scalable computation of high-order constraints.
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- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 693, doi. 10.1007/s00778-017-0483-4
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- Article
Many-query join: efficient shared execution of relational joins on modern hardware.
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- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 669, doi. 10.1007/s00778-017-0475-4
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- Article
Query optimization through the looking glass, and what we found running the Join Order Benchmark.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 643, doi. 10.1007/s00778-017-0480-7
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- Article
Efficient generation of query plans containing group-by, join, and groupjoin.
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- VLDB Journal International Journal on Very Large Data Bases, 2018, v. 27, n. 5, p. 617, doi. 10.1007/s00778-017-0476-3
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- Article