4.5 Article

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Computer Science, Artificial Intelligence

Automated Discovery of Process Models from Event Logs: Review and Benchmark

Adriano Augusto et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)

Review Computer Science, Information Systems

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Irene Teinemaa et al.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2019)

Proceedings Paper Computer Science, Theory & Methods

Using Convolutional Neural Networks for Predictive Process Analytics

Vincenzo Pasquadibisceglie et al.

2019 INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2019) (2019)

Article Computer Science, Information Systems

Predictive Monitoring of Business Processes: A Survey

Alfonso Eduardo Marquez-Chamorro et al.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2018)

Article Computer Science, Information Systems

A Novel Business Process Prediction Model Using a Deep Learning Method

Nijat Mehdiyev et al.

Business & Information Systems Engineering (2018)

Article Computer Science, Theory & Methods

Time and activity sequence prediction of business process instances

Mirko Polato et al.

COMPUTING (2018)

Proceedings Paper Computer Science, Software Engineering

Deep Learning Process Prediction with Discrete and Continuous Data Features

Stefan Schoenig et al.

PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING (2018)

Article Computer Science, Information Systems

Predictive Analytics in Information Systems Research

Shmueli et al.

MIS QUARTERLY (2017)

Proceedings Paper Computer Science, Information Systems

Predictive Business Process Monitoring with LSTM Neural Networks

Niek Tax et al.

ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017) (2017)

Proceedings Paper Computer Science, Information Systems

A Multi-Stage Deep Learning Approach for Business Process Event Prediction

Nijat Mehdiyev et al.

2017 IEEE 19TH CONFERENCE ON BUSINESS INFORMATICS (CBI), VOL 1 (2017)

Article Computer Science, Artificial Intelligence

Data-driven Process Prioritization in Process Networks

Wolfgang Kratsch et al.

DECISION SUPPORT SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Predicting process behaviour using deep learning

Joerg Evermann et al.

DECISION SUPPORT SYSTEMS (2017)

Proceedings Paper Business

A Deep Learning Approach for Predicting Process Behaviour at Runtime

Joerg Evermann et al.

BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2016 (2017)

Article Computer Science, Theory & Methods

Balanced multi-perspective checking of process conformance

Felix Mannhardt et al.

COMPUTING (2016)

Article Computer Science, Information Systems

Utilizing big data analytics for information systems research: challenges, promises and guidelines

Oliver Mueller et al.

EUROPEAN JOURNAL OF INFORMATION SYSTEMS (2016)

Article Computer Science, Information Systems

COMPREHENSIBLE PREDICTIVE MODELS FOR BUSINESS PROCESSES

Dominic Breuker et al.

MIS QUARTERLY (2016)

Proceedings Paper Computer Science, Artificial Intelligence

PlaNet - Photo Geolocation with Convolutional Neural Networks

Tobias Weyand et al.

COMPUTER VISION - ECCV 2016, PT VIII (2016)

Proceedings Paper Computer Science, Information Systems

PRISM - A Predictive Risk Monitoring Approach for Business Processes

Raffaele Conforti et al.

BUSINESS PROCESS MANAGEMENT, BPM 2016 (2016)

Article Information Science & Library Science

On the role of context in business process management

Jan vom Brocke et al.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2016)

Proceedings Paper Computer Science, Information Systems

Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions

Renuka Sindhgatta et al.

ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2016) (2016)

Proceedings Paper Computer Science, Information Systems

Predictive Business Process Monitoring Framework with Hyperparameter Optimization

Chiara Di Francescomarino et al.

ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2016) (2016)

Article Computer Science, Information Systems

Prediction of business process durations using non-Markovian stochastic Petri nets

Andreas Rogge-Solti et al.

INFORMATION SYSTEMS (2015)

Article Computer Science, Information Systems

The rise of big data on cloud computing: Review and open research issues

Ibrahim Abaker Targio Hashem et al.

INFORMATION SYSTEMS (2015)

Article Computer Science, Information Systems

Compliance monitoring in business processes: Functionalities, application, and tool-support

Linh Thao Ly et al.

INFORMATION SYSTEMS (2015)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Article Automation & Control Systems

Comparing and Combining Predictive Business Process Monitoring Techniques

Andreas Metzger et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

A markov prediction model for data-driven semi-structured business processes

Geetika T. Lakshmanan et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2015)

Proceedings Paper Computer Science, Information Systems

Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes

Anna Leontjeva et al.

BUSINESS PROCESS MANAGEMENT, BPM 2015 (2015)

Article Computer Science, Artificial Intelligence

Real-time business process monitoring method for prediction of abnormal termination using KNNI-based LOF prediction

Bokyoung Kang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Article Computer Science, Information Systems

Time prediction based on process mining

W. M. P. van der Aalst et al.

INFORMATION SYSTEMS (2011)

Article Computer Science, Theory & Methods

Estimation of prediction error by using K-fold cross-validation

Tadayoshi Fushiki

STATISTICS AND COMPUTING (2011)

Article Computer Science, Information Systems

A systematic analysis of performance measures for classification tasks

Marina Sokolova et al.

INFORMATION PROCESSING & MANAGEMENT (2009)

Article Computer Science, Interdisciplinary Applications

Business process intelligence

D Grigori et al.

COMPUTERS IN INDUSTRY (2004)

Article Information Science & Library Science

Generalizing generalizability in information systems research

AS Lee et al.

INFORMATION SYSTEMS RESEARCH (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Computer Science, Artificial Intelligence

Learning to forget: Continual prediction with LSTM

FA Gers et al.

NEURAL COMPUTATION (2000)