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An Efficient Pruning Method to Process Reverse Skyline Queries

並列摘要


Several algorithms for processing reverse skyline queries have been proposed in recent literature. However, these algorithms are based on pre-processing approaches, and hence involve complex procedures and waste storage space due to inefficient use of storage. In addition, they are not robust to frequently changing data as, they have to re-compute and update the pre-computed results. To overcome these issues, this paper proposes a novel algorithm to efficiently process reverse skyline queries using an approach based on two pruning methods: the search-area pruning method and the candidate-objects pruning method. Utilizing these pruning methods, the algorithm is able to process reverse skyline queries efficiently even in situations where data is changing frequently. The proposed algorithm also effectively reduces the inefficient use of storage under existing approaches for storing pre-computed results. We conducted extensive experiments to show that the proposed algorithm shows better performance compared to existing approaches regardless of the dimension, distribution, or size of the data.

被引用紀錄


Hsiao, Y. H. (2013). 升級缺乏競爭力產品之最大化潛在客戶數 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2013.00048
Wu, P. H. (2012). 考量反向式天際線之Top-k查詢處理 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2012.00673
Hsieh, Y. C. (2015). 差排和斯皮諾達奈米結構在2205雙相不銹鋼中交互作用之研究 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2015.00793
林岳嶙 (2016). 具限制條件群集天際線之高效率計算方法 [master's thesis, Feng Chia University]. Airiti Library. https://doi.org/10.6341/fcu.m0306780
王明展(2003)。基因演算法應用於設施佈置問題之研究〔博士論文,元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-0112200611294711

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