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Volumn , Issue , 2007, Pages 46-55

Xproj: A framework for projected structural clustering of xml documents

Author keywords

Clustering; XML

Indexed keywords

DATA RECORDS; STRUCTURAL BEHAVIORS; STRUCTURAL INFORMATION;

EID: 36849071950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1281192.1281201     Document Type: Conference Paper
Times cited : (94)

References (18)
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    • Aggarwal, C.C.1
  • 5
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    • Information Systems, Elsevier, January 2005. Also appeared in EDBT 2004 Workshops on Current Trends in Database Technology
    • T. Dalamagas, T. Cheng, K. Winkel, T. Sellis. Clustering XML Documents Using Structural Summaries. Information Systems, Elsevier, January 2005. Also appeared in EDBT 2004 Workshops on Current Trends in Database Technology, 2004.
    • (2004)
    • Dalamagas, T.1    Cheng, T.2    Winkel, K.3    Sellis, T.4
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    • CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
    • W. Li, J. Han, J. Pei. CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. International Conference on Data Mining, 2001.
    • (2001) International Conference on Data Mining
    • Li, W.1    Han, J.2    Pei, J.3
  • 11
    • 0003136237 scopus 로고
    • Efficient and Effective Clustering Methods for Spatial Data Mining
    • R. Ng, J. Han. Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB Conference, 1994.
    • (1994) VLDB Conference
    • Ng, R.1    Han, J.2
  • 15
    • 0032283420 scopus 로고    scopus 로고
    • Discovering Typical Structures of Documents: A Road Map Approach
    • K. Wang, H.Q. Liu. Discovering Typical Structures of Documents: A Road Map Approach. ACM SIGIR Conference, 1998.
    • (1998) ACM SIGIR Conference
    • Wang, K.1    Liu, H.Q.2
  • 16
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    • XRules: An Effective Structural Classifier for XML Data
    • M. J. Zaki, C. C. Aggarwal. XRules: An Effective Structural Classifier for XML Data. ACM KDD Conference, 2003.
    • (2003) ACM KDD Conference
    • Zaki, M.J.1    Aggarwal, C.C.2
  • 17
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    • BIRCH: An Efficient Data Clustering Method for Very Large Databases
    • T. Zhang, R. Ramakrishnan, M. Livny. BIRCH: An Efficient Data Clustering Method for Very Large Databases. ACM SIGMOD Conference, 1996.
    • (1996) ACM SIGMOD Conference
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 18
    • 0242709382 scopus 로고    scopus 로고
    • Efficiently Mining Frequent Trees in a Forest
    • M. J. Zaki. Efficiently Mining Frequent Trees in a Forest. ACM KDD Conference, 2002.
    • (2002) ACM KDD Conference
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.