Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Siberian Scientific Workshop on Data Analysis Technologies with Applications, SibDATA 2020; Krasnoyarsk; Krasnoyarsk
Год издания: 2020
Ключевые слова: big Data, context properties, Exploratory OLAP, fca, heterogeneous data, olap
Аннотация: Diversity, multidimensionality, and the amount of available information require an original approach to the operational analytical processing of heterogeneous data. The integral analytical model provides a federation of heterogeneous data without physical moving, with the support of interactive visual exploration of a large model, Показать полностьюand with the execution of analytical queries on distributed data sources simultaneously. Compact representation and native management of big data is achieved by presenting the model in the form of a context and building a lattice for it, in accordance with the FCA method. The theory of integral analytical modeling (IAM) relies on the fact that the context of the model has special properties that ensure fast construction of the lattice and its compactness. The goal of the article is to conduct a comparative analysis of the properties of the IAM context and contexts of various origins, to evaluate and compare the rate of the lattice generation and their properties.
Журнал: CEUR Workshop Proceedings
Выпуск журнала: 2727
Номера страниц: 59-65