지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 1,466 - 1,470 (5page)
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초록· 키워드
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In this paper calculation and formation of aggregational values being the main elements of operative analysis of multidimensional data, in the form of hypercube and the development of effective correlation structure to the data during the process of the analytical analysis are considered. In the course of writing, basic concepts of multidimensional data model and internal structure are given. Measurements used for the implementation of hypercube and for the description of dimension elements the secuence of sets theory is applied. Pre-calculation of all aggregation values for quick operative analysis and in order to carry out the effective correlation to the values received in the result of calculation, multidimensional indexing are developed. In this structure, in accordance with the primary keys intersection of dimensional elements multidimensional indexing structure having been formed and pre-aggregation is made for the initial quantitative values through the formed multidimensional indexing structure. Pre-aggregation values in separate structure is stored and according to multidimensional indexing the pointer is installed to the aggregational value address. This means one multidimensional index matched with one value. After the termination of pre-aggregational values calculation, calculations of aggregational values that are solved in all the intersections of the values are considered. In the end of paper conclusion and literature are given.
목차
Abstract
1. INTRODUCTION
2. THE MULTIDIMENSIONAL DATA MODEL
3. DEVELOPMENT OF THE STRUCTURE FOR FORMATION AGGREGATIONAL VALUES OF HYPERCUBE
4. CONCLUSION AND FUTURE WORK
REFERENCES
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