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1 Ergebnisse
1
Qd-tree: Learning Data Layouts for Big Data Analytics:
, In:
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
,
Yang, Zongheng
;
Chandramouli, Badrish
;
Wang, Chi
... - p. 193-208 , 2020
Link:
https://dl.acm.org/doi/10.1145/3318464.3389770
RT T1
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
: T1
Qd-tree: Learning Data Layouts for Big Data Analytics
UL https://suche.suub.uni-bremen.de/peid=acm-3389770&Exemplar=1&LAN=DE A1 Yang, Zongheng A1 Chandramouli, Badrish A1 Wang, Chi A1 Gehrke, Johannes A1 Li, Yinan A1 Minhas, Umar Farooq A1 Larson, Per-Åke A1 Kossmann, Donald A1 Acharya, Rajeev PB ACM YR 2020 K1 OLAP K1 big data K1 data analytics K1 data layout K1 data partitioning K1 deep learning K1 deep reinforcement learning K1 indexing K1 query processing K1 storage K1 Information systems K1 Data management systems K1 Data structures K1 Data access methods K1 Data layout K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Information storage systems K1 Record storage systems K1 Relational storage K1 Database management system engines K1 Database query processing SP 193 OP 208 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3318464.3389770 DO https://dl.acm.org/doi/10.1145/3318464.3389770 SF ELIB - SuUB Bremen
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