An Approach Based on Bayesian Networks for Query Selectivity Estimation-Reference-Cited by-同舟云学术

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An Approach Based on Bayesian Networks for Query Selectivity Estimation

Published:2019 Issue: Volume: Page:3-19
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
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Author:

Halford Max,Saint-Pierre Philippe,Morvan Franck

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-18579-4_1

Reference38 articles.

1. Acharya, S., Gibbons, P.B., Poosala, V., Ramaswamy, S.: Join synopses for approximate query answering. ACM SIGMOD Rec. 28, 275–286 (1999)

2. Armbrust, M., et al.: Spark SQL: relational data processing in spark. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1383–1394. ACM (2015)

3. Bruno, N., Chaudhuri, S., Gravano, L.: STHoles: a multidimensional workload-aware histogram. ACM SIGMOD Rec. 30, 211–222 (2001)

4. Chaudhuri, S., Motwani, R., Narasayya, V.: On random sampling over joins. ACM SIGMOD Rec. 28, 263–274 (1999)

5. Chen, C.M., Roussopoulos, N.: Adaptive selectivity estimation using query feedback, vol. 23. ACM (1994)

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