A method to mine frequent dense resources across multiple real-value function’s resource effectiveness matrixes

Abstract

The function plays a vital role in guaranteeing and improving performance, quality, and effectiveness of system task information. However, the health degree of resources directly influences function health. Comprehending the call relation of functions together with resources’ effectiveness from the data of functions’ resource effectiveness matrix will enable us to get a better understanding of the affiliation between resources and functions. Most methods proposed mainly focus on designing complex algorithms to extract dense-connected resources from one function’s resource effectiveness matrix. In this paper, we proposed a method to mine frequent dense resources across multiple real-value function’s resource effectiveness matrixes. The experimental results show our algorithm can extract frequent dense resource sets that satisfy the specified conditions in a more efficient way.