CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Multidimensional event logs storage for process mining
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Read | Breyman Alexandr D., Bogoslovskiy Yegor M. Multidimensional event logs storage for process mining // Caspian journal : management and high technologies. — 2014. — №2. — pp. 127-138. |
Breyman Alexandr D. - Ph.D. (Engineering), Associate Professor, National Research University “Higher School of Economics”, 20 Myasnitskaya St., Moscow, 101000, Russian Federation, abreyman@hse.ru
Bogoslovskiy Yegor M. - undergraduate student, National Research University “Higher School of Economics”, 20 Myasnitskaya St., Moscow, 101000, Russian Federation, 9163540822N@gmail.com
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability.
Key words: process mining, event logs, multidimensional data models, multidimensional process mining, multidimensional analytical operations, OLAP, ROLAP, XES, извлечение и анализ процессов, журналы событий, многомерные модели данных, многомерный анализ процессов, а