The research subject is the technology of generating the multivariable data representation with using separate formation of dimensions and measures. The purpose of the study is to provide a full level of the user’s work automation at the formation of new data cubes. In the course of investigation, the following problems are solved: the sequence of generating intermediate data representations is determined; the correctness of these representations is studied; efficient algorithms for generating the representations and checking their correctness are developed. The theoretical basis is the methods of the inter model mapping. Herewith, a classical relational model is used as a source data model, an extended model of the multidimensional data with unbalanced hierarchies in dimensions - as a target one. The work result is the multidimensional data construction technology. Consequently, the results obtained can be used by the analytical departments at various enterprises in processing large data volumes. The proposed technology of the multidimensional data formation is the traditional OLAP-technologies development.
Аннотация. Работа представляет общий подход к формализации задач поиска стационарных объектов с известными или оцениваемыми распределениями координат. Предложен метод аналитического учета возможных пересечений и самопересечений полос и трубок поиска. Формализуемые задачи исследованы на равномерную оптимальность и аддитивность управления. Обсуждаются верифицирующие предложенный метод результаты имитационного моделирования.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.