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