Authors: Lunwen Wang Ling Zhang
Publish Date: 2007/01/01
Volume: 24, Issue: 1, Pages: 133-137
Abstract
In this letter Constructive Neural Networks CNN is used in largescale 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
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