Analysis and evaluation of the top-k most influential location selection query
Chen, Jian; Huang, Jin; Wen, Zeyi; He, Zhen; Taylor, Kerry; Zhang, Rui
Description
In this paper, we propose a newtype of queries to retrieve the top-kmost influential locations from a candidate set C given sets of customers M and existing facilities F. The influence models the popularity of a facility. Such queries have wide applications in decision support systems. A naive solution sequentially scans (SS) all data sets, which is expensive, and hence, we investigate two branch-and-bound algorithms for the query, namely Estimate Expanding Pruning (EEP) and Bounding...[Show more]
Collections | ANU Research Publications |
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Date published: | 2015 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/59931 |
Source: | Knowledge and Information Systems |
DOI: | 10.1007/s10115-013-0720-0 |
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02_Chen_Analysis_and_evaluation_of_the_2015.pdf | 42.52 kB | Adobe PDF | Request a copy |
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