上坡 发表于 2025-3-28 15:26:24

https://doi.org/10.1007/978-1-4615-2007-8 The aim of this paper is to examine how collaborative workflows can be adapted for mobile devices, be capable of dealing with current collaborators’ context and support content manipulation. As a result, a conceptual reference framework for the definition, management and execution of mobile context-aware content-centric workflows is introduced.

IOTA 发表于 2025-3-28 19:32:03

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出处 发表于 2025-3-29 02:38:12

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aristocracy 发表于 2025-3-29 05:03:55

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消毒 发表于 2025-3-29 09:39:59

Towards Improving the Representational Bias of Process Mining,w means to ., ., and . in a variety of application domains. Process discovery—discovering a process model from example behavior recorded in an event log—is one of the most challenging tasks in process mining. A variety of process discovery techniques have been proposed. Most techniques suffer from t

表状态 发表于 2025-3-29 14:23:30

,MailOfMine – Analyzing Mail Messages for Mining Artful Collaborative Processes,hers, engineers, etc.), the so called “knowledge workers”. In this paper we propose the MailOfMine approach, to automatically build, on top of a collection of email messages, a set of workflow models that represent the artful processes laying behind the knowledge workers activities.

侧面左右 发表于 2025-3-29 17:49:55

,BowlognaBench—Benchmarking RDF Analytics,users are increasingly interested in investigating large collections of online data by performing complex analytic queries (e.g.,“how did university student performance evolve over the last 5 years?”). This paper introduces a novel benchmark for evaluating and comparing the efficiency of Semantic We
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查看完整版本: Titlebook: Data-Driven Process Discovery and Analysis; First International Karl Aberer,Ernesto Damiani,Tharam Dillon Conference proceedings 2012 IFIP