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논문 기본 정보

자료유형
학술저널
저자정보
Jihyun Kim (이화여자대학교) Myung Kim (이화여자대학교)
저널정보
한국멀티미디어학회 멀티미디어학회논문지 멀티미디어학회논문지 제14권 제12호
발행연도
2011.12
수록면
1,591 - 1,600 (10page)

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초록· 키워드

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The skyline of a multidimensional data set is the maximal subset whose elements are not dominated by other elements of the set. Skyline computation is considered to be very useful for a decision making system that deals with multidimensional data analyses. Recently, a great deal of interests has been shown to improve the performance of skyline computation algorithms. In order to speedup, the number of comparisons between data elements should be reduced. In this paper, we propose a filter Lining scheme to accomplish such objectives. The scheme divides the multidimensional data space into angle-based partitions, and places a filter for each partition, and then connects them together in order to establish the final filter line. The filter line can be used to eliminate data, that are not part of the skyline, from the original data set in the preprocessing stage. The filter Line is adaptively improved during the data scanning stage. In addition, skylines are computed for each remaining data partition, and are then merged to form the final skyline. Our scheme is an improvement of the previously reported simple preprocessing scheme using simple filters. The performance of the scheme is shown by experiments.

목차

ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. PROPOSED FILTER LINING SCHEME
4. EXPERIMENTS AND PERFORMANCE EVALUATION
5. CONCLUSION
REFERENCES

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UCI(KEPA) : I410-ECN-0101-2013-004-001622949