Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics

Abstract

Abstract. Process Mining is a technique for extracting process models from execution logs. This is particularly useful in situations where people have an idealized view of reality. Real-life processes turn out to be less structured than people tend to believe. Unfortunately, traditional process mining approaches have problems dealing with unstructured processes. The discovered models are often "spaghetti-like", showing all details without distinguishing what is important and what is not. This paper proposes a new process mining approach to overcome this problem. The approach is configurable and allows for different faithfully simplified views of a particular process. To do this, the concept of a roadmap is used as a metaphor. Just like different roadmaps provide suitable abstractions of reality, process models should provide meaningful abstractions of operational processes encountered in domains ranging from healthcare and logistics to web services and public administration.

Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs

“…Most of the more recent and more sophisticated process discovery methods support noise filtering [3]. Existing noise-filtering methods are based on frequencies [7,8,9,10], machine-learning techniques [11,12], genetic algorithms [13], or probabilistic models [14,15]. All of those methods focus on the controlflow perspective (i.e., the event labels) when filtering noise.…”

State Propagation in Abstracted Business Processes

“…The majority of the solutions consider various aspects of model transformation. For instance, [5,10,11,14,16] focus on the structural aspects of transformation. Among these papers [16] enables the most flexible activity grouping.…”

“…While techniques and use cases of process model abstraction are well understood, e.g., [4,5,11,10,13,16], little is known about the relationships between process instances and abstract process models. Only a small share of the named BPMA approaches discusses the role of process instances [4,13].…”

Meronymy-Based Aggregation of Activities in Business Process Models

“…As we mentioned in Section 2, the available BPMA techniques focus on the structural aspects of process model transformation, e.g., see [3,27,31]. In addition to those papers, there are works that discuss criteria for abstraction of model elements, see [12,15]. These criteria are defined on activity properties such as execution cost, duration, frequency, and associated resources; activities are either abstracted or preserved depending on whether they meet the given criteria.…”

“…BPMA is an operation on a business process model preserving essential process properties and leaving out insignificant process details in order to retain information relevant for a particular purpose. In practice there are various scenarios where BPMA is helpful [12,15,26]. A prominent BPMA use case is a construction of a process "quick view" for rapid process comprehension.…”