Research on Network Big Data Mining Technology Based on Structural Similarity

At present most of our institutions mainly apply clustering algorithm for data mining activities, but low accuracy is one of the common problems they face. This paper presents a network data mining technology based on structural similarity, i.e. to convert the target data in the network system into k-nearest neighbor network (kNN), then use the network data mining technology based on structural similarity to cluster the target data, thereby to obtain a big data with an inferiorly objective function but a superiorly accurate clustering which can meet our needs of the accurate statistical results.