TKAP: Efficiently processing top-k query on massive data by adaptive pruning

Author:

Han Xixian,Liu Xianmin,Li Jianzhong,Gao Hong

Funder

National Basic Research (973) Program of China

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Natural Scientific Research Innovation Foundation in HIT

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Cited by 5 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. Query Recombination: To Process a Large Number of Concurrent Top-k Queries towards IoT Data on an Edge Server;2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS);2022-07

2. Efficient main-memory top-K selection for multicore architectures;Proceedings of the VLDB Endowment;2019-10

3. Accurate and efficient profile matching in knowledge bases;Data & Knowledge Engineering;2018-09

4. Dynamic skyline computation on massive data;Knowledge and Information Systems;2018-04-23

5. Finding Top- $k$ Dominance on Incomplete Big Data Using MapReduce Framework;IEEE Access;2018

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