Download Conformance Checking and Diagnosis in Process Mining: by Jorge Munoz-Gama PDF

By Jorge Munoz-Gama

Process mining recommendations can be utilized to find, research and increase genuine procedures, by means of extracting versions from saw habit. the purpose of this booklet is conformance checking, one of many major components of procedure mining. In conformance checking, current procedure types are in comparison with genuine observations of the method for you to examine their caliber. Conformance checking strategies are the way to visualize the diversities among assumed method represented within the version and the true technique within the occasion log, pinpointing attainable difficulties to handle, and the company method administration effects that depend on those models.
This booklet combines either program and examine views. It offers concrete use circumstances that illustrate the issues addressed through the suggestions within the booklet, yet whilst, it includes whole conceptualization and formalization of the matter and the thoughts, and during reviews at the caliber and the functionality of the proposed suggestions. therefore, this publication brings the chance for company analysts prepared to enhance their association strategies, and likewise information scientists with regards to process-oriented facts science.

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Extra info for Conformance Checking and Diagnosis in Process Mining: Comparing Observed and Modeled Processes

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S = {σ |σ ∈ •(L)}. , A. , = {(σ , a, σ · a )|σ ∈ S ∧ σ · a ∈ S}. , ω(σ ) = •(L)(σ ). 3 Incorporating Modeled Behavior 43 • the initial state corresponds with the empty prefix 1 1 d g 1 . i 1 b <> 4 a e 1 4 c 1 f 1 h 1 i 1 d 3 1 e f 1 h 1 h 1 i 1 d 2 f 1 d 1 i 1 Fig. 4: Prefix automaton AL1 for the event log L1 .

Communication: Models are used to communicate and gain insight into the analyzed processes, for example, models illustrating the reworks done in the process. Models allowing for more behavior than the one seen in reality would complicate the understanding of the processes, indicating a possible rework path that never happened. • Simulation: Process models are used for simulating possible future scenarios, and to take decisions according to results obtained. The use of imprecise models would result in overgeneralized simulations, with a lot of non realistic scenarios, limiting the effectiveness of the conclusions.

One can estimate the precision of a system as the difference between the behavior allowed by the model and the behavior observed in the log. Instead, we propose a different way of estimating precision based on identifying all precision problems and quantifying the effort need to correct them achieving a perfectly precise system. • A technique that does not require an exhaustive model state-space exploration. Because the state space of a model can grow exponentially, state-based analysis techniques may be problematic with respect to computational complexity [72].

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