Project -
Regression Rules for Predicting Business Process Execution time
Objective
Business process predictive analysis provides aims to improve operations by predicting remaining time of a partial running process instance and thus identifying delays in the process before they can occur. However, for high stake short running process instances, it is important to identify risks at the start of the process instance. We attempt to mine rule-based decisions from historical instance. The objective of this work is to evaluate existing rule induction methods and compare them with neural network based rule extraction methods.
Outcomes
Paper in a conference
Apply by Date
31/01/2022
Applied Teams
1 / 2
Duration
3
College
1. IIT Kharagpur
Mentor
Renuka Sindhgatta
Platform
1 ) Watson Data Platform