Logo des Repositoriums

Auflistung nach Autor:in "Cabanillas, Cristina"

1 - 5 von 5
  • Zeitschriftenartikel
    A Framework for Efficiently Mining the Organisational Perspective of Business Processes.
    (EMISA Forum: Vol. 36, No. 2, 2016) Schönig, Stefan; Cabanillas, Cristina; Jablonski, Stefan; Mendling, Jan
  • Konferenzbeitrag
    A conceptual architecture for an event-based information aggregation engine in smart logitics
    (Enterprise modelling and information systems architectures, 2015) Baumgrass, Anne; Cabanillas, Cristina; Ciccio, Claudio Di
    The field of Smart Logistics is attracting interest in several areas of research, including Business Process Management. A wide range of research works are carried out to enhance the capability of monitoring the execution of ongoing logistics processes and predict their likely evolvement. In order to do this, it is crucial to have in place an IT infrastructure that provides the capability of automatically intercepting the digitalised transportation-related events stemming from widespread sources, along with their elaboration, interpretation and dispatching. In this context, we present here the service-oriented software architecture of such an event-based information engine. In particular, we describe the requisites that it must meet. Thereafter, we present the interfaces and subsequently the service-oriented components that are in charge of realising them. The outlined architecture is being utilised as the reference model for an ongoing European research project on Smart Logistics, namely GET Service.
  • Zeitschriftenartikel
    Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Transportation.
    (EMISA Forum: Vol. 36, No. 2, 2016) Ciccio, Claudio Di; Aa, Han van der; Cabanillas, Cristina; Mendling, Jan; Prescher, Johannes
  • Zeitschriftenartikel
    Mining Resource Assignments and Teamwork Compositions from Process Logs
    (Softwaretechnik-Trends Band 36, Heft 4, 2016) Schönig, Stefan; Cabanillas, Cristina; Di Ciccio, Claudio; Jablonski1, Stefan; Mendling, Jan
    Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resources to process activities. Information about the resources that are involved in process activities can be mined from event logs in order to discover resource assignment conditions. This is valuable for process analysis and redesign. Prior process mining approaches in this context present one of the following issues: (i) they are limited to discovering a restricted set of resource assignment conditions; (ii) they are not fully efficient; (iii) the discovered process models are difficult to read due to the high number of assignment conditions included; or (iv) they are limited by the assumption that only one resource is responsible for each process activity and hence, collaborative activities are disregarded. To overcome these issues, we present an integrated process mining framework that provides extensive support for the discovery of resource assignment and teamwork patterns.
  • Zeitschriftenartikel
    Process- and Resource-Aware Information Systems.
    (EMISA Forum: Vol. 37, No. 1, 2017) Cabanillas, Cristina