Abstract：The constructing of scenario map is one of the key activities in the process of chance discovery. The event correlation matrix is extended according to six degrees of separation theory and the formalization description of the structure of scenario map in chance discovery is presented. The principle for the construction of event clusters in scenario map via clustering analysis based on p order correlation matrix and the construction of scenario map based on event clusters are given. The algorithm for the implementation of the principle is given as well. The evaluating criterion for the performance of the proposed methods is discussed and the efficiency coefficient is used as the criterion definitely. Experimental results show that the clustering precision and the efficiency coefficient of scenario map constructed based on correlation matrix are high and the construction of scenario map based on 3order correlation matrix is fine for online chance discovery.
张振亚, 程红梅, 张曙光. 基于六度分离理论的机会发现场景构造方法[J]. 模式识别与人工智能, 2011, 24(3): 332-339.
ZHANG Zhen-Ya, CHENG Hong-Mei, ZHANG Shu-Guang. An Approach to Construction of Scenario Map in Chance Discovery Based on Six Degrees of Separation Theory. , 2011, 24(3): 332-339.
2011, Vol. 24 
