多遍扫描KeyGraph执行模型

Multi-scan KeyGraph implement model

机会发现是近年人工智能和决策领域提出的一个新的研究课题。通过研究机会发现的关键算法KeyGraph,提出一种新型的多遍扫描执行模型,并提出利用矩阵分解实现KeyGraph的具体计算,对KeyGraph的计算方法进行改进。有效地提高了算法的执行效率,减少了计算数据量,并降低了时间空间复杂度。

Chance discovery is a new research field of artificial intelligence and decision making. A new multi-scan implement model based on studying KeyGraph is proposed. The material calculation is realized by using the matrix decomposition. This method effectively enhances the efficiency of the algorithm, decreases the quantity of computing data and reduces the time and space complexity.