吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 124-128.doi: 10.13229/j.cnki.jdxbgxb201401022

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Clustering XML documents by layer information

LIU Zhao-jun1,2, ZHAO Hao-yu3, WANG Jing1,2, LI Xiong-fei1,2, LI Wei1,2   

  1. 1. Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, Changchun 130012, China;
    2. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    3. College of Software, Jilin University, Changchun 130012, China
  • Received:2012-11-23 Online:2014-01-01 Published:2014-01-01

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Abstract:

A layer-sensitive XML document collection clustering method CXLI is proposed in this paper. First, a concept of structural table is put forward to clear up the duplication structures in XML documents. Second, the constraints of editing operations are established. Third, a testing method of the similarity between XML documents is presented. Finally, the XML documents are clustered using agglomerative hierarchical clustering method. ACM SIMOD data set and synthetic data set are used to test the proposed method. Results show that the proposed CXLI has better precision under similar time cost.

Key words: artificient intelligence, data mining, XML, similarity detection, clustering, layer

CLC Number: 

  • TP18

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