A Workflow-based Affiliation Network Knowledge Discovery Algorithm

Discovering Activity-Performer Affiliation Knowledge on ICN-based Workflow Models

Technology-supported social networks have been penetrating many aspects of our lives from friendships/blogging sites to working organizations. Particularly, individuals as employees of companies have started to adopt a sort of organizational knowledge based on their operational technologies. This paper, so, focuses on a special type of organizational social network knowledge acquired from deplo...

A Stochastic Workflow Performer-To-Activity Affiliation Network Model (BMFSA2015)

This paper proposes a formal concept of stochastic workflow activity-to-performer affiliation network model. The proposed model is based upon the conceptual formalism of an extended information control net [20] that is revised from the original so as to adopt the probability theory to the activity-to-performer bindings in specifying a workflow procedure. In general, when a workflow management e...

Modeling, Discovering, and Visualizing Workflow Performer-Role Affiliation Networking Knowledge

This paper formalizes a special type of social networking knowledge, which is called “workflow performer-role affiliation networking knowledge.” A workflow model specifies execution sequences of the associated activities and their affiliated relationships with roles, performers, invoked-applications, and relevant data. In Particular, these affiliated relationships exhibit a stream of organizati...

Knowledge discovery based on conceptual network

Probabilistic knowledge discovery algorithm in network reliability optimization

This paper presents a new algorithm that can be readily applied to solve general all-terminal network reliability allocation problems. The optimization problem solved considers the minimization of the network design cost subject to a known network reliability requirement. The algorithm is based on two major steps that use a probabilistic discovery approach and Monte Carlo simulation to generate...