DIAGNOSIS AND PREDICTION OF BUSINESS PROCESS DEVIANCES

Discovering data transfer routines from user interaction logs

V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy

2022-07-01

Robotic Process Automation (RPA) is a technology to automate routine work such as copying data across applications or filling in d..

Robotic Process Mining

M Dumas, ML Rosa, V Leno, A Polyvyanyy, FM Maggi

2022-06-27

User interaction logs allow us to analyze the execution of tasks in a business process at a finer level of granularity than event ..

Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach

Adriano Augusto, Raffaele Conforti, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa

2022-04-01

Automated process discovery techniques allow us to generate a process model from an event log consisting of a collection of busine..

Entropic relevance: A mechanism for measuring stochastic process models discovered from event data

Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos

2022-03-26

There are many fields of computing in which having access to large volumes of data allows very precise models to be developed. For..

Bootstrapping Generalization of Process Models Discovered from Event Data

Artem Polyvyanyy, Alistair Moffat, Luciano Garcia-Banuelos

2022-01-01

Process mining extracts value from the traces recorded in the event logs of IT-systems, with process discovery the task of inferri..

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

2021-10-31

Reducing cycle time is a recurrent concern in the field of business process management. Depending on the process, various interven..

All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees

Jan Martijn van der Werf, Artem Polyvyanyy, Bart van Wensveen, Matthieu Brinkhuis, Hajo Reijers

2021-07-01

The aim of a process discovery algorithm is to construct from event data a process model that describes the underlying, real-world..

Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa

2021-06-26

State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed mod..

Stochastic process mining: Earth movers’ stochastic conformance

Sander JJ Leemans, Wil MP van der Aalst, Tobias Brockhoff, Artem Polyvyanyy

2021-02-01

Initially, process mining focused on discovering process models from event data, but in recent years the use and importance of con..

Conformance checking of partially matching processes: An entropy-based approach

A Polyvyanyy, A Kalenkova

2021-01-20

Conformance checking is an area of process mining that studies methods for measuring and characterizing commonalities and discrepa..

Visual Drift Detection for Event Sequence Data of Business Processes

Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy

2021-01-08

Event sequence data is increasingly available in various application domains, such as business process management, software engine..

Automated Discovery of Process Models with True Concurrency and Inclusive Choices

A Augusto, M Dumas, M La Rosa

2021-01-01

Enterprise information systems allow companies to maintain detailed records of their business process executions. These records ca..

Discovering executable routine specifications from user interaction logs

Volodymyr Leno, Adriano Augusto, Marcello La Rosa, Artem Polyvyanyy, Marlon Dumas, Fabrizio Maggi

2021-01-01

Structural and Behavioral Biases in Process Comparison Using Models and Logs

Anna Kalenkova, Artem Polyvyanyy, Marcello La Rosa

2021-01-01

Process models automatically discovered from event logs represent business process behavior in a compact graphical way. To compare..

Scalable alignment of process models and event logs: An approach based on automata and S-components

Daniel Reissner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa

2020-12-01

Given a model of the expected behavior of a business process and given an event log recording its observed behavior, the problem o..

Identifying candidate routines for Robotic Process Automation from unsegmented UI logs

Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy

2020-10-22

Robotic Process Automation (RPA) is a technology to develop software bots that automate repetitive sequences of interactions betwe..

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

2020-10-22

This paper proposes an approach to analyze an event log of a business process in order to generate case-level recommendations of t..

An entropic relevance measure for stochastic conformance checking in process mining

A Polyvyanyy, A Moffat, L Garcia-Banuelos

2020-10-01

Given an event log as a collection of recorded real-world process traces, process mining aims to automatically construct a process..

Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems

Artem Polyvyanyy, Andreas Solti, Matthias Weidlich, Claudio Di Ciccio, Jan Mendling

2020-06-16

The behavioural comparison of systems is an important concern of software engineering research. For example, the areas of specific..

Business Process Variant Analysis Based on Mutual Fingerprints of Event Logs

F Taymouri, M La Rosa, J Carmona

2020-06-03

Comparing business process variants using event logs is a common use case in process mining. Existing techniques for process varia..

Stochastic-Aware Conformance Checking: An Entropy-Based Approach

SJJ Leemans, A Polyvyanyy

2020-06-03

Business process management (BPM) aims to support changes and innovations in organizations’ processes. Process mining complements ..

Detection and removal of infrequent behavior from event streams of business processes

SJ van Zelst, M Fani Sani, A Ostovar, R Conforti, M La Rosa

2020-05-01

Process mining aims at gaining insights into business processes by analyzing the event data that is generated and recorded during ..

Robotic Process Mining: Vision and Challenges

Volodymyr Leno, Artem Polyvyanyy, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi

2020-03-24

Robotic process automation (RPA) is an emerging technology that allows organizations automating repetitive clerical tasks by execu..

Automated discovery of declarative process models with correlated data conditions

V Leno, M Dumas, FM Maggi, M La Rosa, A Polyvyanyy

2020-03-01

Automated process discovery techniques enable users to generate business process models from event logs extracted from enterprise ..

Optimization Framework for DFG-based Automated Process Discovery Approaches

Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander Leemans, Seppe Vanden Broucke

2020-02-27

The problem of automatically discovering business process models from event logs has been intensely investigated in the past two d..

A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics

Anna Kalenkova, Artem Polyvyanyy, Marcello La Rosa

2020-01-01

A plethora of algorithms for automatically discovering process models from event logs has emerged. The discovered models are used ..

A Spectrum of Entropy-Based Precision and Recall Measurements Between Partially Matching Designed and Observed Processes

Anna Kalenkova, Artem Polyvyanyy

2020-01-01

Modern software systems are often built using service-oriented principles. Atomic components, be that web-or micro services, allow..

Automated Discovery of Data Transformations for Robotic Process Automation

Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio M Maggi, Artem Polyvyanyy

2020-01-01

Robotic Process Automation (RPA) is a technology for automating repetitive routines consisting of sequences of user interactions w..

Automated Repair of Process Models Using Non-Local Constraints

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa

2020-01-01

State-of-the-art process discovery methods construct free-choice process models from event logs. Hence, the constructed models do ..

Automatic Repair of Same-Timestamp Errors in Business Process Event Logs

Raffaele Conforti, Marcello La Rosa, Arthur ter Hofstede, Adriano Augusto

2020-01-01

This paper contributes an approach for automatically correcting “same timestamp” errors in business process event logs. These erro..

Entropia: A family of entropy-based conformance checking measures for process mining

A Polyvyanyy, H Alkhammash, C Di Ciccio, L García-Bañuelos, A Kalenkova, SJJ Leemans, J Mendling, A Moffat, M Weidlich

2020-01-01

This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mi..

Predictive business process monitoring via generative adversarial nets: The case of next event prediction

F Taymouri, ML Rosa, S Erfani, ZD Bozorgi, I Verenich

2020-01-01

Predictive process monitoring aims to predict future characteristics of an ongoing process case, such as case outcome or remaining..

Robidium: Automated synthesis of robotic process automation scripts from UI logs

V Leno, S Deviatykh, A Polyvyanyy, M La Rosa, M Dumas, FM Maggi

2020-01-01

This paper presents Robidium: a tool that discovers au- tomatable routine tasks from User Interactions (UI) logs and generates Rob..

The Information Systems Modeling Suite

Jan Martijn EM van der Werf, Artem Polyvyanyy

2020-01-01

According to our recent proposal, an information system is a combination of a process model captured as a Petri Net with Identifie..

VDD: A visual drift detection system for process mining

A Yeshchenko, J Mendling, C Di Ciccio, A Polyvyanyy

2020-01-01

Research on concept drift detection has inspired recent advancements of process mining and expanding the growing arsenal of proces..

Comprehensive Process Drift Detection with Visual Analytics

Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy

2019-10-15

Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processe..

Metaheuristic Optimization for Automated Business Process Discovery

A Augusto, M Dumas, M La Rosa

2019-09-01

The problem of automated discovery of process models from event logs has been intensely investigated in the past two decades, lead..

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

I Verenich, Marlon Dumas, M La Rosa, Fabrizio Maggi, Irene Teinemaa

2019-08-01

Predictive business process monitoring methods exploit historical process execution logs to generate predictions about running ins..

Monotone Conformance Checking for Partially Matching Designed and Observed Processes

Artem Polyvyanyy, Anna Kalenkova

2019-06-24

Conformance checking is a subarea of process mining that studies relations between designed processes, also called process models,..

Information Systems Modeling: Language, Verification, and Tool Support

Artem Polyvyanyy, Jan Martijn van der Werf, Sietse Overbeek, Rick Brouwers

2019-06-03

Information and processes are both important aspects of information systems. Nevertheless, most existing languages for modeling in..

Predicting process performance: A white‐box approach based on process models

I Verenich, Marlon Dumas, M La Rosa, H Nguyen

2019-06-01

Predictive business process monitoring methods exploit historical process execution logs to provide predictions about running inst..

Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy

2019-05-01

The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Desp..

Action logger: Enabling process mining for robotic process automation

V Leno, A Polyvyanyy, M La Rosa, M Dumas, FM Maggi

2019-01-01

This paper presents a tool, called Action Logger, for recording user interface (UI) logs, i.e., logs of user interactions with inf..

A probabilistic approach to event-case correlation for process mining

D Bayomie, C Di Ciccio, M La Rosa, J Mendling

2019-01-01

Process mining aims to understand the actual behavior and performance of business processes from event logs recorded by IT systems..

Comprehensive process drift analysis with the visual drift detection tool

A Yeshchenko, CD Ciccio, J Mendling, A Polyvyanyy

2019-01-01

Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processe..

Discovering Automatable Routines From User Interaction Logs

Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino

2019-01-01

The complexity and rigidity of legacy applications in modern organizations engender situations where workers need to perform repet..

Information Systems Modeling: Language, Verification, and Tool Support

A Polyvyanyy, JMEM van der Werf, S Overbeek, R Brouwers

2019-01-01

Information and processes are both important aspects of information systems. Nevertheless, most existing languages for modeling in..

Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

A Augusto, R Conforti, M Dumas, M La Rosa

2019-01-01

The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Desp..

Predictive Process Monitoring in Apromore

I Verenich, S Mõškovski, S Raboczi, M Dumas, M La Rosa, FM Maggi

2018-06-15

This paper discusses the integration of Nirdizati, a tool for predictive process monitoring, into the Web-based process analytics ..

Interleaving Isotactics – An Equivalence Notion on Behaviour Abstractions

A Polyvyanyy, J Sürmeli, M Weidlich

2018-04-18

We study the equivalence of models that capture the behaviour of systems, such as process-oriented information systems. We focus o..

Abstract and Compare: A Framework for Defining Precision Measures for Automated Process Discovery

A Augusto, A Armas Cervantes, R Conforti, M Dumas, M La Rosa, D Reissner

2018-03-19

Automated process discovery techniques allow us to extract business process models from event logs. The quality of process models ..

Behavioural Quotients for Precision and Recall in Process Mining

A Polyvyanyy, A Solti, M Weidlich, C Di Ciccio, J Mendling

2018-01-01

The comparison of the languages of software systems, i.e., their behaviours in terms of specified executions, is a prerequisite fo..