Titlebook: On the Move to Meaningful Internet Systems: OTM 2015 Conferences; Confederated Interna Christophe Debruyne,Hervé Panetto,Claudio Agostino C

BROTH

Cosmopolitan

Finding Collective Decisions: Change Negotiation in Collaborative Business Processesvarious reasons, they can often not be kept local, i.e., at one partner’s side, but must be partly or entirely propagated to one or several other partners. Due to the autonomy of partners in a collaboration, change effects cannot be imposed on the partners, but must be agreed upon in a consensual wa

LEVER

depreciate

Context-Aware Process Injectionn abundance of regulations. Accordingly, numerous business process variants need to be supported depending on a multiplicity of influencing factors, e.g., customer requests, resource availability, compliance rules, or process data. In particular, even running processes should be adjustable to respon

哺乳動物

Vital-Signs

A Genetic Algorithm for Automatic Business Process Test Case Selectionty during design and maintenance. However, executing hundreds or even thousands of process model test cases leads to excessive test suite execution times and, therefore, high costs. Hence, this paper presents a novel approach for process model test case selection which is able to address flexible us

Feature

皺痕

Information Quality in Dynamic Networked Business Process Managementated solutions by business network requires adaptive interactions between parties to address emerging requirements of customers. These adaptive interactions need to be enabled by dynamic networked business processes (DNBP) that are supported by high quality information. However, the dynamic collabor

吹牛大王

Utilizing the Hive Mind – How to Manage Knowledge in Fully Distributed Environmentsations, for example, GPS positions or communication patterns. In order to benefit from this enormous amount of information, machine learning algorithms are used to derive knowledge from the gathered observations. This benefit can be increased further, if the devices are enabled to collaborate by sha

手工藝品

Multi-Tenanted Framework: Distributed Near Duplicate Detection for Big Datao the differences in data representation (such as measurement units) across different data sources, potential duplicates may not be textually identical, even though they refer to the same real-world entity. As data warehouses typically contain data coming from several heterogeneous data sources, det