期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：9
页码：14391-14395
DOI：10.18535/ijecs/v4i9.56
出版社：IJECS
摘要：In general, previous studies[1], [2]mostly focus on helping customers find a set of “best” possibleproducts from a pool of given products. Finding top-k profitable products is common in many real-lifeapplications like finding profitable laptops in a new laptop company, finding profitable delivery services in anew cargo delivery company, finding profitable shares in stock market and e-advertisements in a web pageetc. This paper we propose a solution to a real life application by identifying top-k profitable stocks, sincehas not been studied before is undertaken. Given a set of stocks in the existing market, a set of k “best”possible stocks are found such that these new stocks are not dominated by the stocks in the existing stockmarket. Hence, the user can decide which stocks to be bought for making better profit. Two probleminstances of finding top-k profitable stocks are found addressed in this paper. An extensive performancestudy using both synthetic and real data sets is reported to verify the effectiveness and efficiency ofproposed algorithms
关键词：Dominance and Skyline analysis; Skyline Query; Spatial database
