文献类型：会议论文

英文题名：Mining Television Audience Rating Based on Fuzzy Cognitive Map

作者：Ma, Nan[1];Wang, Hao[1];He, Qin[2];Yao, Tao[2]

通讯作者：Ma, N[1]

机构：[1]Beijing Union Univ, Coll Informat Technol, Beijing, Peoples R China;[2]Beijing Union Univ, Coll Management, Beijing, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Informat Technol, Beijing, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

会议日期：AUG 15-17, 2015

会议地点：Zhangjiajie, PEOPLES R CHINA

语种：英文

外文关键词：Fuzzy Cognitive Map; television audience rating; data mining

摘要：The Fuzzy Cognitive Map (FCM) is the product of the combination of fuzzy logic and neural network, and is suitable for the description, prediction and control of the nonlinear system based on dynamic data. The linear regression algorithm is used to obtain the coarse weight matrix model of fuzzy cognitive map, and then a training weight algorithm is used to refine the coarse weight matrix model. The fuzzy cognitive map model is applied to mine the television audience rating, realizing and prediction television playback volume. The experimental result shows that the modeling method is effective