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

Acetaldehyde

Motor, Battery, and Magnetic Suspension,or each quantity in the given CLD, hence it produces a fully annotated CLD that can be used for later simulations to predict future KPI development. In the end of the paper, we provide a detailed evaluation of NEvo on a business use-case to demonstrate its single step prediction capabilities.

虛度

cathartic

https://doi.org/10.1007/978-981-10-1486-4 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.

Arboreal

https://doi.org/10.1007/978-3-031-53670-0he evaluation results show that, excluding the interference factors and certain non-medical reasons, the system has achieved the research goal of CKD dietary consultation. For future studies, the problem solving scope can be expanded to implement a more comprehensive dietary consultation system.

連系

調(diào)整校對(duì)

Philip L. Chambers,Peter Günzeld in the case that regulations are changed. In this paper we show how existing RCM solutions can be extended with traceability between compliance rules and regulations. Traceability supports the alignment of regulations and rules and thus helps improving the overall maintainability of compliance rules.

STERN

Conference proceedings 2015n June 2015. The BIS conference series follows trends in academic and business research; thus, the theme of the BIS 2015 conference was “Making Big Data Smarter.” Big data is now a fairly mature concept, recognized and widely used by professionals in both research and industry. Together, they work o

CANT

啟發(fā)

P. Bannasch,H.-J. Hacker,D. Mayerlasses; . 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.

HUSH

A Mark Based-Temporal Conceptual Graphs for Enhancing Big Data Management and Attack Scenario Reconsig data. The efficiency of the proposed scheme for the reconstruction of attack scenarios is illustrated using a case study in addition to a conducted comparative analysis showing how smart big graph data is obtained through the optimization of the graph size.