کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6858585 | 1438284 | 2018 | 31 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Interest-driven discovery of local process models
ترجمه فارسی عنوان
کشف مدل های فرایند محلی بر مبنای علاقه
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کلمات کلیدی
کشف فرآیند، معدن الگو، داده کاوی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Local Process Models (LPM) describe structured fragments of process behavior occurring in the context of less structured business processes. Traditional LPM discovery aims to generate a collection of process models that describe highly frequent behavior, but these models do not always provide useful answers to questions posed by process analysts aiming at business process improvement. We propose a framework for goal-driven LPM discovery, based on utility functions and constraints. We describe four scopes on which these utility functions and constraints can be defined, and show that utility functions and constraints on different scopes can be combined to form composite utility functions/constraints. Finally, we demonstrate the applicability of our approach by presenting several actionable business insights discovered with LPM discovery on three real-life data sets.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Systems - Volume 77, September 2018, Pages 105-117
Journal: Information Systems - Volume 77, September 2018, Pages 105-117
نویسندگان
Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M.P. van der Aalst, Sylvie Norre,