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A recommendation system for predicting risks across multiple business process instances · Study

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ArticleA recommendation system for predicting risks across multiple business process instances

Raffaele Conforti2014

OA

Articlebronze2014

A recommendation system for predicting risks across multiple business process instances

Raffaele Conforti · Massimiliano de Leoni · Marcello La Rosa · Wil M. P. van der Aalst · Arthur H. M. ter Hofstede

136 citations·0/0 files stored·Decision Support Systems

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Business Process Modeling and Analysis Recommender Systems and Techniques Robotic Process Automation Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 136 citations exist upstream.

References

2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2006Process-aware information systems: bridging people and software through process technology 2005Process‐Aware Information Systems 2010Time prediction based on process mining 2005Workflow Resource Patterns: Identification, Representation and Tool Support 2009Modern Business Process Automation 2014Predictive Monitoring of Business Processes 2010Model-Driven Risk Analysis

Cited by

2016Predictive Business Process Monitoring with Structured and Unstructured Data 2017Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions 2018How is process mining technology used by organizations? A systematic literature review of empirical studies 2017Run-time prediction of business process indicators using evolutionary decision rules 2019An empirical comparison of classification techniques for next event prediction using business process event logs 2019Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm

Details

Year2014

Typearticle

Published2014-11-06

VenueDecision Support Systems

ISSN-L0167-9236

Languageen

Citations136

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

Identifiers

doi10.1016/j.dss.2014.10.006

openalex_workW2737332333

Links

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2022Prescriptive process monitoring: Quo vadis ?

2019From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring