Selection of Bitmap Join Index: Approach Based on Minimal Transversals-Reference-Cited by-同舟云学术

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Selection of Bitmap Join Index: Approach Based on Minimal Transversals

Published:2018 Issue: Volume: Page:302-316
ISSN:0302-9743
Container-title:Big Data Analytics and Knowledge Discovery
language:
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Author:

Ghabry Issam,Yahia Sadok Ben,Jelassi M. Nidhal

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-98539-8_23

Reference19 articles.

1. Lecture Notes in Computer Science;K Aouiche,2005

2. Bellatreche, L., Missaoui, R., Necir, H., Drias, H.: A data mining approach for selecting bitmap join indices. J. Comput. Sci. Eng. 2(1), 206–223 (2008)

3. Berge, C.: Hypergraphs: Combinatorics of Finite Sets, 3rd edn. North-Holland, New York (1989)

4. Lecture Notes in Computer Science;R Bouchakri,2012

5. Chaudhuri, S., Narasayya, V.: An efficient cost-driven index selection tool for Microsoft SQL server. In: International Conference on Very Large Databases, pp. 146–155 (1997)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy Efficiency vs. Performance of Analytical Queries: The case of Bitmap Join Indexes;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

2. Static and incremental dynamic approaches for multi-objective bitmap join indexes selection in data warehouses;The Journal of Supercomputing;2020-09-10

3. A New Test Suite Reduction Approach Based on Hypergraph Minimal Transversal Mining;Future Data and Security Engineering;2019

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