A DATA MINING METHOD BASED ON CONSTRUCTIVE NEURAL NETWORKS  

作　　者：Wang Lunwen Zhang Ling 

机构地区：[1]309 Research Division, Electronic Engineering Institute of PLA, Hefei 230037, China [2]Key Lab. of Artificial Intelligence ＆ Signal Processing of Minisiry of Education, Anhui University, Hefei 230030, China

出　　处：《Journal of Electronics(China)》2007年第1期133-137,共5页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60135010);partially supported by the National Grand Fundamental Research 973 Program of China (No.G1998030509).

摘　　要：In this letter,Constructive Neural Networks (CNN) is used in large-scale data mining. By introducing the principle and characteristics of CNN and pointing out its deficiencies,fuzzy theory is adopted to improve the covering algorithms. The threshold of covering algorithms is redefined. "Extended area" for test samples is built. The inference of the outlier is eliminated. Furthermore,"Sphere Neighborhood (SN)" are constructed. The membership functions of test samples are given and all of the test samples are determined accordingly. The method is used to mine large wireless monitor data (about 3×107 data points),and knowledge is found effectively.In this letter, Constructive Neural Networks （CNN） is used in large-scale data mining. By introducing the principle and characteristics of CNN and pointing out its deficiencies, fuzzy theory is adopted to improve the covering algorithms. The threshold of covering algorithms is redefined. ＂Extended area＂ for test samples is built. The inference of the outlier is eliminated. Furthermore, ＂Sphere Neighborhood （SN）＂ are constructed. The membership functions of test samples are given and all of the test samples are determined accordingly. The method is used to mine large wireless monitor data （about 3×10^7 data points）, and knowledge is found effectively.

关 键 词：Data mining Neural networks Constructive Neural Networks （CNN） Wireless monitoring 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]