Artem Polyvyanyy | DeepAI

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∙ 09/15/2023

Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques

A transhumeral prosthesis restores missing anatomical segments below the...

0 Zihang Su, et al. ∙

∙ 09/02/2023

Large Process Models: Business Process Management in the Age of Generative AI

The continued success of Large Language Models (LLMs) and other generati...

0 Timotheus Kampik, et al. ∙

∙ 03/07/2023

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning

Increasing the success rate of a process, i.e. the percentage of cases t...

0 Zahra Dasht Bozorgi, et al. ∙

∙ 12/02/2022

Agent Miner: An Algorithm for Discovering Agent Systems from Event Data

The problem of process discovery in process mining studies ways to const...

0 Andrei Tour, et al. ∙

∙ 07/08/2021

Bootstrapping Generalization of Process Models Discovered From Event Data

Process mining studies ways to derive value from process executions reco...

0 Artem Polyvyanyy, et al. ∙

∙ 06/26/2021

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

State-of-the-art process discovery methods construct free-choice process...

3 Anna Kalenkova, et al. ∙

∙ 06/25/2021

Discovering executable routine specifications from user interaction logs

Robotic Process Automation (RPA) is a technology to automate routine wor...

0 Volodymyr Leno, et al. ∙

∙ 05/03/2021

Process Model Forecasting Using Time Series Analysis of Event Sequence Data

Process analytics is an umbrella of data-driven techniques which include...

0 Johannes De Smedt, et al. ∙

∙ 12/23/2020

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

The aim of a process discovery algorithm is to construct from event data...

0 Jan Martijn E. M. van der Werf, et al. ∙

∙ 11/17/2020

Visual Drift Detection for Event Sequence Data of Business Processes

Event sequence data is increasingly available in various application dom...

0 Anton Yeshchenko, et al. ∙

∙ 09/03/2020

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

This paper proposes an approach to analyze an event log of a business pr...

9 Zahra Dasht Bozorgi, et al. ∙

∙ 08/21/2020

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining

This paper presents a command-line tool, called Entropia, that implement...

0 Artem Polyvyanyy, et al. ∙

∙ 07/18/2020

An Entropic Relevance Measure for Stochastic Conformance Checking in Process Mining

Given an event log as a collection of recorded real-world process traces...

0 Artem Polyvyanyy, et al. ∙

∙ 01/03/2020

Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...

14 Volodymyr Leno, et al. ∙

∙ 09/20/2019

Process Query Language: Design, Implementation, and Evaluation

Organizations can benefit from the use of practices, techniques, and too...

0 Artem Polyvyanyy, et al. ∙

∙ 07/15/2019

Comprehensive Process Drift Detection with Visual Analytics

Recent research has introduced ideas from concept drift into process min...

3 Anton Yeshchenko, et al. ∙

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