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It is fundamentally important to offer efficient information services for all types of users weather the information service platform is survived and sustainable. This article adopts Petri net to describe the coordination mechanisms, and constructs three strategies to avoid conflicts among activities of service demanders by analyzing two types of service activity conflicts of information service platform...
Rule induction is an important kind of machine learning technique. Aiming at finding efficient algorithm of rule induction, this paper studies generating rule set from decision system as a basis of data analysis of rough set, presents a method to simplify decision system on the premise of preserving classification ability of original decision system, and to get the decision of this simplified decision...
Clustering analysis is a promising data-driven method for the analysis of functional magnetic resonance imaging (fMRI) data. We use affinity propagation clustering (APC), a new clustering algorithm especially for large data sets, to detect brain functional activation from fMRI in multitask experimental paradigm. The real fMRI study reveals that brain functional activation can be effectively detected...
The paper describes interactive learning system (ILS) for intuition judgement and data analysis. The selection of Interactive Learning Models is performed under both intuition and data analysis learning. and poses a skeleton of intuitive reasoning. Through the relationship construction of practical intuitive model and on-the-spot model, it sets up a couple of interactive learning models and intuitive...
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