New PDF release: Conformance Checking and Diagnosis in Process Mining:

February 2, 2018 | Data Mining | By admin | 0 Comments

By Jorge Munoz-Gama

ISBN-10: 3319494503

ISBN-13: 9783319494500

ISBN-10: 3319494511

ISBN-13: 9783319494517

Process mining options can be utilized to find, learn and increase genuine approaches, by way of extracting types from saw habit. the purpose of this ebook is conformance checking, one of many major components of approach mining. In conformance checking, present strategy versions are in comparison with real observations of the method to be able to investigate their caliber. Conformance checking strategies are how 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 enterprise procedure administration effects that depend upon those models.
This e-book combines either program and examine views. It presents concrete use situations that illustrate the issues addressed by way of the concepts within the ebook, yet even as, it includes entire conceptualization and formalization of the matter and the thoughts, and during reviews at the caliber and the functionality of the proposed suggestions. as a result, this e-book brings the chance for enterprise analysts prepared to enhance their association strategies, and likewise information scientists related to process-oriented facts science.

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

Sample text

The standard operations over sets can be extended to multisets. For example: the union [a, a] [a, b] = [a, a, a, b], the difference [a, a, b, c] \ [a, b, b] = [a, c], the size |[a, a]| = 2, etc. Sequences are used to represent traces in the log, or states of the observed behavior and modeled behavior. 3 (Sequence) A sequence σ = a1 , a2 , . . , an ∈ A∗ over a set A is an ordered list of elements ai ∈ A of size n. The empty sequence is denoted as . The concatenation of sequences is denoted as σ1 · σ2 .

In particular, they present the advanced behavioral appropriateness (aB ), a metric designed to measure the precision between a Petri net and an event log. , in some but not all traces) follow/precede each other. 2 shows an example of ’Follows’ relation, taken from [73]. 4 Requirements for Precision 37 precision relates to those situations where the model has more variability than the event log, the idea of the metric is compare the behavior allowed by the model and the behavior observed in the log based on how many elements are contained in the sometimes follows and sometimes precedes relations once we superpose two the matrices.

For the sake of clarity in this section we assume determinism. 6 we explore the relaxation of this assumption and the consequences that this may produce. Moreover, the proposed approach does not require the complete exploration of model behavior. , [77]), the proposed approach restricts the exploration to the boundaries of the log state space. Only the border between the behavior observed in the log and the model behavior is explored. For example, given L1 and SN 1 , the trace a, c, d, e, e, e, e, e, f , h, i included in the model behavior is never explored.

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Conformance Checking and Diagnosis in Process Mining: Comparing Observed and Modeled Processes by Jorge Munoz-Gama

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