Труды сотрудников ИВМ СО РАН

/ T. Penkova, A. Korobko // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2013. - Vol. 7828 LNAI: 16th International Conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications, KES 2012 (10 September 2012 through 12 September 2012, San Sebastian. - P163-170, DOI 10.1007/978-3-642-37343-5_17 . -
Аннотация: In this paper an original approach to analytical decision making support based on on-line analytical processing of multidimensional data is suggested. According to Dr. Codd's rules, the effectiveness of data analysis significantly depends on the data accessibility and transparency of an analytical model of domain. The method of constructing a conceptual OLAP-model as an integral analytical model of the domain is proposed. The method is illustrated by the example of the scientific activities domain. The integral analytical model includes all possible combinations of analyzed objects and gives them the opportunity to be manipulated ad-hoc. The suggested method consists in a formal concept analysis of measures and dimensions based on an expert knowledge about the structure of analyzing objects and their comparability. As a result, conceptual OLAP-model is represented as a concept lattice of multidimensional cubes. Concept lattice features allow the decision maker to discover the nonstandard analytical dependencies on the set of all actual measures and dimensions of the scientific activities domain. Conceptual OLAP-model implementation allows user makes better decisions based on on-line analytical processing of the scientific activity indicators. В© 2013 Springer-Verlag.

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Доп.точки доступа:
Penkova, T.; Пенькова, Татьяна Геннадьевна; Korobko, A.; Коробко, Анна Владимировна

/ A. Korobko, A. Korobko // 11th International Conference on Management of Digital EcoSystems, MEDES 2019 : Association for Computing Machinery, Inc, 2019. - 11th International Conference on Management of Digital EcoSystems, MEDES 2019 (12 November 2019 through 14 November 2019, ) Conference code: 156715. - P66-72, DOI 10.1145/3297662.3365809 . -
Аннотация: The paper presents the first steps towards an authorial integration methodology for heterogeneous data. Exposing information from multiple heterogeneous data sources demands a global (mediated) schema. We need a model to couple with the mismatches between schemata of different sources and to provide uniform access to the data. The virtual global schema is apparently more convenient for assembling big data sources because of useless time consumption during the processes of materialization and synchronization. Thus, an integral analytical model has been proposed as the global schema of heterogeneous data sources. The suggested model provides virtual integration of complex and diverse information for further analytical processing. It combines the original multidimensional design and lattice structure according to the formal conceptual analysis. The main goal of the paper is to suggest an approach to automatic mapping between the schemata of the disparate data sources and virtual integral analytical model with human moderation. © 2019 Copyright is held by the owner/author(s).

Scopus

Держатели документа:
Department of Applied Computer Science, ICM SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Korobko, A.