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      Business Process Management

      7th International Conference, BPM 2009, Ulm, Germany, September 8-10, 2009, Proceedings

      AvUmeshwar Dayal,Johann Eder

      Häftad, Engelska, 2009

      Del i serien Lecture Notes in Computer Science

      566 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      The BPM (Business Process Management) Conference series has the ambition to be the premier forum for researchersin the area of process-awareinformation systems.It has a recordfor attracting contributions in innovative researchofthe highest quality related to all aspects of business process management including theory, frameworks, methods, techniques, architectures, and empirical ?ndings. BPM 2009 was the 7th instantiation of this series. It took place in Ulm, G- many, September 8–10, 2009, organized by the Institute of Databases and Inf- mation Systems of the University of Ulm. This volume contains 17 contributed research papers and two contributed industrial papers selected from 116 s- missions from 31 countries. The thorough reviewing process—each paper was reviewed by three to ?ve Program Committee members—was extremely c- petitive as the acceptance rate of 16% indicates. In addition to the contributed papers, these proceedings contain two papers and an outline documenting the invited keynote talks. Furthermore, a report is included on the collaboration structure in BPM research derived from an analysis of papers accepted for all past BPM conferences. In conjunction with the main conference, nine international workshops took place the day before the conference. These workshops fostered the exchange of fresh ideas and experiences between active BPM researchers, and stimulated discussions on new and emerging issues in line with the conference topics. The proceedings with the papers of all workshops will be published in a separate volume of Springer’s Lecture Notes in Business Information Processing series.

      Produktinformation

      • Utgivningsdatum:2009-08-28
      • Mått:155 x 235 x 21 mm
      • Vikt:575 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Lecture Notes in Computer Science
      • Antal sidor:363
      • Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
      • ISBN:9783642038471

      Utforska kategorier

      • Projektledning inom Ekonomi och Ledarskap

      Innehållsförteckning

      • Editorial.- A Collaboration and Productiveness Analysis of the BPM Community.- Invited Talks.- BPM 3.0.- Change in Control.- Scientific Workflows: Business as Usual?.- Modeling I.- Graph Matching Algorithms for Business Process Model Similarity Search.- Controllability in Temporal Conceptual Workflow Schemata.- Towards Algorithmic Generation of Business Processes: From Business Step Dependencies to Process Algebra Expressions.- Managing Processes.- Extending BPM Environments of Your Choice with Performance Related Decision Support.- Business Process-Based Resource Importance Determination.- Case Study and Maturity Model for Business Process Management Implementation.- Process Mining I.- Discovering Process Models from Unlabelled Event Logs.- Abstractions in Process Mining: A Taxonomy of Patterns.- Processes and Services.- Aggregating Hierarchical Service Level Agreements in Business Value Networks.- Set Algebra for Service Behavior: Applications and Constructions.- A Restructuring Method for WS-BPEL Business Processes Based on Extended Workflow Graphs.- Modeling II.- The Triconnected Abstraction of Process Models.- Granularity as a Cognitive Factor in the Effectiveness of Business Process Model Reuse.- Artifact-Based Transformation of IBM Global Financing.- Verification and Compliance.- Instantaneous Soundness Checking of Industrial Business Process Models.- Symbolic Abstraction and Deadlock-Freeness Verification of Inter-enterprise Processes.- Effect of Using Automated Auditing Tools on Detecting Compliance Failures in Unmanaged Processes.- Process Mining II.- Divide-and-Conquer Strategies for Process Mining.- Discovering Reference Models by Mining Process Variants Using a Heuristic Approach.
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