Binary Scene Aggregation for Chance Discovery Based on Genetic Algorithm

Chance discovery is a new research topic on cognition psychology inspired deep data analysis. Scene is the contact point of human process and computer process in the double helical model of chance discovery. Scene aggregation and binary scene aggregation problem are defined in this paper. Binary scene aggregation problem is a NP hard problem in chance discovery. To solve binary scene aggregation problem instantly, GeneticBSA, an approximate algorithm for binary scene aggregation based on genetic algorithm is presented. This paper discusses the performance of GeneticBSA too. Experimental results show that GeneticBSA can run with excellent performance for clustering aggregation task while it is treated as a kind of binary scene aggregation task.