An Approach to the Construction of Event Archipelago for Chance Discovery via Genetic Algorithm Based on Correlation Matriz
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. Event archipelago is the basic foundation for scene construction. Event archipelago and island are defined in this paper. Problem of event archipelago for Chance Discovery based on correlation matrix is a NP hard problem and to solve this problem instantly, GeneticCEA, an approximate algorithm based on genetic algorithm is presented. This paper discusses the performance of GeneticCEA too. Experimental results show that GeneticCEA can run with excellent performance for clustering task while it is treated as a kind of task for the construction of event archipelago in chance discovery.
Chance Discovery Scene Genetic Algorithm
Zhenya Zhang Lin Zhang Shuguan Zhang
Key Laboratory of Intelligent Building,Anhui Province,Anhui University of Architecture,Hefei,China Department of Information and Intelligence,Shiyan Technical Institute,Shiyan,China Department of Statistics&Finance,University of Science and Technology of China,Hefei China
国际会议
上海
英文
382-386
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）