Novel algorithm for filling incomplete data of internet of things based on attribute reduction
Yang Liu · Jisuanji gongcheng yu sheji · 2013
Traditional data filling algorithms take the unified method to fill the incomplete data,leading to the low efficiency for filling large incomplete data of the Internet of Things.A novel algorithm for filling incomplete data based on attribute reduction is proposed.At first,the presented algorithm uses the attribute reduction to distinguish the important attribute from unimportant attribute,and then fills the two kinds of data attributes using different filling technologies,which the number of important attributes is decided by the needs of the user.Experiments show that this algorithm can effectively and quickly fill the large-scale incomplete data of the Internet of Things.