Titlebook: Business Information Systems; 18th International C Witold Abramowicz Conference proceedings 2015 Springer International Publishing Switzerl

Sad570

Mining Multi-variant Process Models from Low-Level Logslasses; . a logical trace clustering model, for discriminating among process variants; and . a set of workflow schemas, each describing one variant in terms of the discovered event clusters. Experiments on a real-life data confirmed the capability of the approach to discover readable high-quality process models.

象形文字

憤怒事實(shí)

Industry 4.0 - Potentials for Creating Smart Products: Empirical Research Resultsnt technologies like Big Data or cloud-computing are drivers for the individual potential of use of Industry 4.0. Furthermore mass customization as well as the use of idle data and production time improvement are strong influence factors to the potential of Industry 4.0. On the other hand business process complexity has a negative influence.

Living-Will

Assignment

FLOUR

Modeling and Querying Sensor Services Using Ontologies for managing sensor data: collection, conversion, enrichment and storage. We tested our prototype using live streams of sensors readings. The paper also reports on the required time and storage size during the management and querying of sensor data.

否認(rèn)

SLING

Gullible

排斥