Mining local process models

Mining local process models

In this paper we describe a method to discover frequent behavioral patterns in event logs. We express these patterns as local process models. Local process model mining can be positioned in-between process discovery and episode / sequential pattern mining. The technique presented in this paper is able to learn behavioral patterns involving sequential composition, concurrency, choice and loop, l...

Local Process Models: Pattern Mining with Process Models

Business Process Mining Using Iterated Local Search

This paper introduces ILS Miner, a novel method for discovering process models from event logs using iterated local search. A comparison between ILS Miner, GLS Miner and HeuristicMiner is presented in this paper. GLS Miner was chosen because applies Guided Local Search for discovering process models from event logs, HeuristicMiner[10] being a legacy method in business process discovery. It is s...

Mining Reference Process Models and Their Configurations

Reference process models are templates for common processes run by many corporations. However, the individual needs among organizations on the execution of these processes usually vary. A process model can address these variations through control-flow choices. Thus, it can integrate the different process variants into one model. Through configuration parameters, a configurable reference models ...

Gaussian Process Models in Spatial Data Mining

ion of GeoDatabases Geographic Database Conceptual Modeling Modeling with a UML Profile Geographic Databases Spatio-temporal Database Modeling with an Extended Entity-Relationship Model Geographic Dynamics, Visualization and Modeling MAY YUAN Department of Geography and Center for Spatial Analysis, University of Oklahoma, Norman, OK, USA