Supporting early pruning in top-k query processing on massive data-Reference-Cited by-同舟云学术

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Supporting early pruning in top-k query processing on massive data

Published:2011-05 Issue:11 Volume:111 Page:524-532
ISSN:0020-0190
Container-title:Information Processing Letters
language:en
Short-container-title:Information Processing Letters

Author:

Han Xixian,Li Jianzhong,Yang Donghua

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference21 articles.

1. Best position algorithms for top-k queries;Akbarinia,2007

2. Scalable bloom filters;Almeida;Inf. Process. Lett.,2007

3. A practical approach for efficiently answering top-k relational queries;Ayanso;Decision Support Systems,2007

4. Io-top-k: Index-access optimized top-k query processing;Bast,2006

5. Jock A. Blackard, Comparison of neural networks and discriminant analysis in predicting forest cover types, PhD thesis, Colorado State University, 1998.

Cited by 6 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. Efficient Top-k Retrieval on Massive Data;IEEE Transactions on Knowledge and Data Engineering;2015-10-01

2. TKAP: Efficiently processing top-k query on massive data by adaptive pruning;Knowledge and Information Systems;2015-05-01

3. TDEP: efficiently processing top-k dominating query on massive data;Knowledge and Information Systems;2014-01-10

4. Range query estimation with data skewness for top-k retrieval;Decision Support Systems;2014-01

5. TJJE: An efficient algorithm for top-k join on massive data;Information Sciences;2013-02

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