Asia Pacific Business Process Management  Second Asia Pacific Conference, AP-BPM 2014, Brisbane, QLD, Australia, July 3-4, 2014. Proceedings /  [electronic resource] : 
edited by Chun Ouyang, Jae-Yoon Jung. 
 - XVI, 143 p. 58 illus.  online resource. 
 - Lecture Notes in Business Information Processing,  181  1865-1348 ; .
 - Lecture Notes in Business Information Processing,  181 .
<br/><br/>Part Keynote Paper -- Proposals for Future BPM Research Directions -- Part Process Mining -- A Universal Significant Reference Model Set for Process Mining Evaluation Framework -- A Systematic Methodology for Outpatient Process Analysis Based on Process Mining -- Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach -- Part Process Modeling and Repositories -- A Study on Geospatial Constrained Process Modeling Using UML Activity Diagrams -- Generating Synthetic Process Model Collections with Properties of Labeled Real-Life Models -- Part Process Model Comparison -- A Method of Process Similarity Measure Based on Task Clustering Abstraction -- Efficient Syntactic Process Difference Detection Using Flexible Feature Matching -- Part Process Analysis -- A Model-Checking Based Approach to Robustness Analysis of Procedures under Human-Made Faults -- Incorporating the Effects of Organizational Structure into Business Process Simulation. 
<br/><br/> This book constitutes the proceedings of the Second Asia Pacific Conference on Business Process Management held in Brisbane, QLD, Australia, in July 2014. In all, 33 contributions from 12 countries were submitted. After each submission was reviewed by at least three Program Committee members, nine full papers were accepted for publication in this volume. These nine papers cover various topics that can be categorized under four main research focuses in BPM: process mining, process modeling and repositories, process model comparison, and process analysis. 
<br/><br/><label>ISBN: </label>9783319082226 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-08222-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Information technology.<br/>Business--Data processing.<br/>Data mining.<br/>Application software.<br/>Computer Science.<br/>Computer Appl. in Administrative Data Processing.<br/>IT in Business.<br/>Information Systems Applications (incl. Internet).<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>LC Class. No.: </label>QA76.76.A65 TA345-345.5 
<br/><br/><label>Dewey Class. No.: </label>004