نتایج جستجو برای: dependent process instances

تعداد نتایج: 1940600  

2008
Armin Haller Walid Gaaloul Mateusz Marmolowski

The application of ontologies to Business Process Management has been introduced to improve the level of automation in the execution of processes. Ontologies aid in the description of the process model as well as in their exchanged data. This paper presents an ontological model for workflow logs, namely oXPDL+. The model builds upon a process interchange ontology based on the standardised XML P...

2009
Jiajie Xu Chengfei Liu Xiaohui Zhao

Resource allocation has been recognised as an important topic for business process execution. In this paper, we focus on planning resources for a massive number of process instances to meet the process requirements and cater for rational utilisation of resources before execution. After a motivating example, we present a model for planning resources for process instances. Then we design a set of...

2011
David Schumm Dimka Karastoyanova Frank Leymann

This report describes key aspects of a code library that we developed for the purpose of state propagation for business process monitoring on different levels of abstraction. The library supports the propagation of execution states of process instances based on the Business Process Execution Language (BPEL) to process models specified in the “Chevron” language. The Chevron language is an abstra...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2021

The drastic increase of data quantity often brings the severe decrease quality, such as incorrect label annotations. It poses a great challenge for robustly training Deep Neural Networks (DNNs). Existing learning methods with noise either employ ad-hoc heuristics or restrict to specific assumptions. However, more general situations, instance-dependent noise, have not been fully explored, scarce...

Journal: :journal of ai and data mining 2015
j. hamidzadeh

in instance-based learning, a training set is given to a classifier for classifying new instances. in practice, not all information in the training set is useful for classifiers. therefore, it is convenient to discard irrelevant instances from the training set. this process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...

Journal: :Review of Symbolic Logic 2021

Abstract Can conjunctive propositions be identical without their conjuncts being identical? universally quantified instances On a common conception of propositions, on which they inherit the logical structure sentences express them, answer is negative both times. Here, it will shown that such to questions inconsistent, assuming standard type-theoretic formalization theorizing about propositions...

Journal: :J. Data Semantics 2008
Riccardo Albertoni Monica De Martino

In this paper we propose an asymmetric semantic similarity among instances within an ontology. We aim to define a measurement of semantic similarity that exploit as much as possible the knowledge stored in the ontology taking into account different hints hidden in the ontology definition. The proposed similarity measurement considers different existing similarities, which we have combined and e...

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