Purpose Process mining provides a generic collection of techniques to turn event data into valuable insights, improvement ideas, predictions, and recommendations. This paper uses spreadsheets as a metaphor to introduce process mining as an essential tool for data scientists and business analysts. The goal is to illustrate that process mining can do with events what spreadsheets can do with numb...

The field of process mining is concerned with supporting the analysis, improvement and understanding of business processes. A range of promising techniques have been proposed for process mining tasks such as process discovery and conformance checking. However there are challenges, originally stemming from the area of data mining, that have not been investigated extensively in context of process...

—Process mining is a relatively new and emerging research area dealing with the process modeling and process analysis by studying on the event logs. By mining these logs, one can understand what is actually happening in the organization, which will bring quite different results than what people think. That is the reason why big organizations start using process mining to x-ray their organizatio...

Recently, process mining has become a vivid research area [5, 6]. The basic idea of process mining is to diagnose business processes by mining event logs for knowledge. Process mining techniques and tools provide the means for discovering process, control, data, organizational, and social structures from event logs. In this paper we provide an overview of process mining techniques/tools and the...

Encoding methods affect the performance of process mining tasks but little work in literature focused on quantifying their impact. In this paper, we compare 10 different encoding from three families (trace replay and alignment, graph embeddings, word embeddings) using measures to evaluate overlaps feature space, accuracy obtained, computational resources (time) consumed with a classification ta...

The audit of financial statements is a complex and highly specialized process. Digitalization the increasing automation transaction processing create new challenges for auditors who carry out those audits. New data analysis techniques offer opportunity to improve auditing overcome limitations traditional procedures when faced with increasingly large amounts financially relevant transactions tha...

Initially, process mining focused on discovering models from event data, but in recent years the use and importance of conformance checking has increased. Conformance aims to uncover differences between a model an log. Many techniques measures have been proposed. Typically, these take into account frequencies traces log, do not consider probabilities model. This asymmetry leads various complica...

Incremental workflow mining is a technique for automatically deriving a process model from the on-going executions of a process. This way, the process model becomes more and more accurate, and is automatically adapted when the process is being changed. Therefore, incremental workflow mining could help in flexible workflow support: In this paper, we describe a setting that combines incremental w...