24 research outputs found

    Автоматизация ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Ρ‹ ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΠΎ компСтСнциям студСнтов ΠΈ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ

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    Modern Internet technologies integrated into the organization of training activities can significantly expand the educational opportunities of students; are provide choice and implementation of individual learning trajectory. The purpose of this paper is to develop an integrated learning environment for students and teachers, which provides a process for the on-line estimation of competencies. The proposed system implemented as the webapplication "Foundation of Evaluation Tools"

    ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹ управлСния ΠΏΡ€ΠΈΠ±Ρ‹Π»ΡŒΡŽ

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    Основной Ρ†Π΅Π»ΡŒΡŽ ΠΏΡ€Π΅Π΄ΠΏΡ€ΠΈΠ½ΠΈΠΌΠ°Ρ‚Π΅Π»ΡŒΡΠΊΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ являСтся ΠΏΡ€ΠΈΠ±Ρ‹Π»ΡŒ. ΠŸΡ€ΠΈΠ±Ρ‹Π»ΡŒ всоврСмСнных условиях являСтся ΠΊΠ°ΠΊ источником развития прСдприятия, Ρ‚Π°ΠΊ исоздаСт Π±Π°Π·Ρƒ для роста Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики Π²Ρ†Π΅Π»ΠΎΠΌ. ΠŸΡ€ΠΈΠ±Ρ‹Π»ΡŒ прСдприятия пСрСраспрСдСляСтся Ρ‡Π΅Ρ€Π΅Π· Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡƒΡŽ систСму, "наполняя" государствСнный Π±ΡŽΠ΄ΠΆΠ΅Ρ‚ всСх ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ освоСниС ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² эффСктивного управлСния ΠΏΡ€ΠΈΠ±Ρ‹Π»ΡŒΡŽ прСдприятия являСтся Π²Π°ΠΆΠ½ΠΎΠΉ Ρ‚Π΅ΠΌΠΎΠΉ Π½Π° Π΄Π°Π½Π½Ρ‹ΠΉ ΠΌΠΎΠΌΠ΅Π½Ρ‚ развития страны

    Efficient Time and Space Representation of Uncertain Event Data

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    Process mining is a discipline which concerns the analysis of execution data of operational processes, the extraction of models from event data, the measurement of the conformance between event data and normative models, and the enhancement of all aspects of processes. Most approaches assume that event data is accurately capture behavior. However, this is not realistic in many applications: data can contain uncertainty, generated from errors in recording, imprecise measurements, and other factors. Recently, new methods have been developed to analyze event data containing uncertainty; these techniques prominently rely on representing uncertain event data by means of graph-based models explicitly capturing uncertainty. In this paper, we introduce a new approach to efficiently calculate a graph representation of the behavior contained in an uncertain process trace. We present our novel algorithm, prove its asymptotic time complexity, and show experimental results that highlight order-of-magnitude performance improvements for the behavior graph construction.Comment: 34 pages, 16 figures, 5 table
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