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Ranking Views

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Encyclopedia of Database Systems

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Recommended Reading

  1. Yi K, Yu H, Yang J, Xia G, Chen Y. Efficient maintenance of materialized top-k views. In: Proceedings of the 19th International Conference on Data Engineering; 2003. p. 189–200.

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  2. Chang Y, Bergman L, CastelliV, Li C, Lo ML, Smith J. The Onion technique: indexing for linear optimization queries. In: Proceedings of the ACM Special Interest Group on Management of Data Conference; 2000.

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  3. Hristidis V, Koudas N, Papakonstantinou Y. PREFER: a system for the efficient execution of multi-parametric ranked queries. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2001.

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  4. Hristidis V, Papakonstantinou Y. Algorithms and applications for answering ranked queries using ranked views. VLDB J. 2004;13(1):49–70.

    Article  Google Scholar 

  5. Das G, Gunopulos D, Koudas N, Tsirogiannis D. Answering top-k queries using views. In: Proceedings of the 32nd International Conference on Very large Data Bases; 2006. p. 451–62.

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  6. Ilyas IF, Beskales G, Soliman MA. A survey of top-k query processing techniques in relational database systems. ACM Comput Surv. 2008;40(4):11.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, USA

    Vagelis Hristidis

Authors
  1. Vagelis Hristidis
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Correspondence to Vagelis Hristidis .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada

    Ihab Ilyas

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Hristidis, V. (2018). Ranking Views. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80682

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