Research on cognition-based hierarchical model for the construction and analysis of scenarios in chance discovery

doi:10.3969/j.issn.0253-2778.2016.01.010

Abstract

Abstract: To identify and manage chance events effectively, a cognition-based hierarchical model for the construction and analysis of scenarios in chance discovery is presented according to cognitive information processing theory with the cognitive situation model, the process characteristic of cognition and the information filter mechanism of attention in cognition as references. The new model is composed of five information processes from bottom to top such as acquisition of private views, construction of private scenarios, integration of scenarios, generalization of scenarios and scenario analysis. Problems such as the acquisition of event clusters based on cognition, the representation and evolution of attention oriented to the implementation of filter mechanisms of attention, the construction of event clusters in chance diacovery scenarios, the aggregation of chance discovery scenarios, the implementation of the association phenomenon in the construction and analysis of chance discovery scenarios are discussed in detail. If cluster partition is treated as the chance discovery scenario and the chance discovery scenario is constructed as the aggregation of some private chance discovery scenarios where one private chance discovery scenario is one kind of cluster partition on dataset. Exmperimental results show that the accuracy of the cluster partition can be improved significantly.

Key words: chance discovery, scenario, cognition, intelligent information processing

CLC Number:

TP18

CHENG Hongmei, ZHANG Zhenya. Research on cognition-based hierarchical model for the construction and analysis of scenarios in chance discovery[J]. Journal of University of Science and Technology of China, 2016, 46(1): 76-81.

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