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Specifically, we refer to visualization as a process for knowledge production and growth in science.
For this, the application of feature selection is used during the process for knowledge discovery.
Experimental practice is a crucial process for knowledge integration and technology innovation.
The architecture, the process for knowledge engineering, main components and their functions, especially a series of water quality management mathematic models are described.
The most important process for knowledge collection in ABC algorithm is exchange of information between employed and unemployed bees.
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The basic idea is to adapt and control logistical processes for knowledge flow within teams.
These results were achieved through a 2-pronged approach: providing new channels for communication (mobile phones and SMS Hub) and supplying these channels with content and processes for knowledge sharing (requests from health workers and prompt replies from the district supervisors and coordinators).
In this paper, we revise the established process models for knowledge discovery and propose a new process model for domain-expert-driven interactive knowledge discovery.
Established process models for knowledge discovery find the domain-expert in a customer-like and supervising role.
We propose a snail shell process model for knowledge discovery via data analytics (KDDA) to address these challenges.
We also present an ontology-based research-data infrastructure for medical research which is based upon the newly presented process model for knowledge discovery.
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