Titlebook: Data-Driven Process Discovery and Analysis; First International Karl Aberer,Ernesto Damiani,Tharam Dillon Conference proceedings 2012 IFIP

STIT

Irremediable

Donald J. Polzella,Audrey M. Kunaurity and privacy domain for trust policy specification for the concept illustration. Finally, the paper discusses the evaluation of the results using the Ontology-based Data Matching Framework evaluation benchmark.

GONG

Donald J. Polzella,Audrey M. Kuna approaches recognizing the need for a tighter integration of processes and data along these characteristics. This way, we show the high relevance of the identified characteristics and confirm that their support is needed in many application domains.

Aboveboard

Towards Evaluating an Ontology-Based Data Matching Strategy for Retrieval and Recommendation of Security and privacy domain for trust policy specification for the concept illustration. Finally, the paper discusses the evaluation of the results using the Ontology-based Data Matching Framework evaluation benchmark.

Traumatic-Grief

Striving for Object-Aware Process Support: How Existing Approaches Fit Together, approaches recognizing the need for a tighter integration of processes and data along these characteristics. This way, we show the high relevance of the identified characteristics and confirm that their support is needed in many application domains.

心胸開闊

Monitoring Business Processes in the Networked Enterprise,raction suggested in MDA. These indicators will drive the monitoring activities to check the execution of business processes involving networked enterprises. Connecting the different levels we also decrease the cost of implementing metrics as the measurement of the entities at one level can be based on the lower level.

前兆

Case Study in Process Mining in a Multinational Enterprise,umber of multinational enterprises and then reflect upon the issues that have been encountered during our ongoing work. In our opinion these issues are a clear example of the challenges that need to be addressed during business process discovery from heterogeneous data.

強(qiáng)壯

Discovering Workflow Changes with Time-Based Trace Clustering,entries is the “distance” between activities, i.e. the number of steps between an activity pair. By observing non-transient modifications on the distance, changes in the original process shape can be inferred and the entries clustered accordingly. The paper presents the corresponding algorithms and exemplifies its usage in a running example.

cacophony

Scrum Conceptualization Using K-CRIO Ontology,those that are dedicated to the design of a product. This ontology draws from organizational theories. The contribution of this paper is twofold. On the one hand, it described the key concepts and relationships of the k-CRIO ontology and on the other hand it illustrates this ontology by taking the example of the Scrum development process.

強(qiáng)壯

Conference proceedings 2012process, the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topics spanning from theoretical issues related to process representation to practical experience in process discovery and analysis.