Predictive Business Process Monitoring with LSTM Neural Networks

Niek Tax; Ilya Verenich; Marcello La Rosa; Marlon Dumas

doi:10.1007/978-3-319-59536-8_30

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Predictive Business Process Monitoring with LSTM Neural Networks

Niek Tax Ilya Verenich Marcello La Rosa Marlon Dumas

Year: 2017 Lecture notes in computer science Pages: 477-492 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-59536-8_30

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Keywords:

Computer science Timestamp Process (computing) Task (project management) Machine learning Artificial neural network Exploit Artificial intelligence Recurrent neural network Range (aeronautics) Event (particle physics) Data mining Business process Real-time computing Work in process

Metrics

477

Cited By

111.15

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Business Process Modeling and Analysis

Social Sciences → Business, Management and Accounting → Management Information Systems

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Data Quality and Management

Social Sciences → Decision Sciences → Management Science and Operations Research

Predictive Business Process Monitoring with LSTM Neural Networks

Metrics

Citation History

Topics

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