Titlebook: Data-Driven Process Discovery and Analysis; First International Karl Aberer,Ernesto Damiani,Tharam Dillon Conference proceedings 2012 IFIP

上坡

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

出处

aristocracy

消毒

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

,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

,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