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XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries

Published: 16 March 2008 Publication History

Abstract

In this paper we propose a unified clustering algorithm for both homogeneous and heterogeneous XML documents. Depending on the type of the XML documents, the proposed algorithm modifies its distance metric in order to properly adapt to the special structural characteristics of homogeneous and heterogeneous XML documents. We compare the quality of the formed clusters with those of one of the latest XML clustering algorithms and show that our algorithm outperforms it in the case of both homogeneous and heterogeneous XML documents.

References

[1]
Abiteboul, S., Buneman, P. and Suciu, D. Data on the Web. Morgan Kaufmann, 2000.
[2]
Bradley, P. S. and Fayyad U. M. Refining Initial Points for k-Means Clustering. In Proceedings of the 15th International Conference in Machine Learning (ICML '98) (San Francisco, 1998). 1998, pp. 91--99.
[3]
Costa, G., Manco, G., Ortale, R. and Tagarelli, A. A Tree-Based Approach to Clustering XML Documents by Structure. In Proceedings of the 8th European Conference on Principles and Practice Knowledge Discovery in Databases (PKDD '04) (Pisa, Italy, September 20--24, 2004), 2004, pp. 137--148.
[4]
Dalamagas, T., Cheng, T., Winkel, K. and Sellis, T. K. A methodology for clustering XML documents by structure. In Information Systems Journal, 31(3), 2006, pp.: 187--228.
[5]
Doucet, A. and Ahonen-Myka, H. Naïve Clustering of a large XML Document Collection. In Proceedings of the 2002 Initiative for the Evaluation of XML Retrieval Workshop (INEX '02), 2002, pp. 81--87.
[6]
Han, J. and Kamber, M. Data Mining: Concepts and Techniques. Academic Press, 2001.
[7]
Ma, Y. and Chbeir, R. Content and Structure Based Approach For XML Similarity. In Proceedings of the 2005 Conference on Instructional Technologies (CIT '05) (Binghamton, Canada, 2005), 2005, pp. 136--140.
[8]
Nayak, R. and Xu, S. XCLS: A Fast and Effective Clustering Algorithm for Heterogeneous XML Documents. In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '06) (The Singapore, April 9--12, 2006). 2006, pp. 292--302.
[9]
Tagarelli, A. and Greco, S. Toward Semantic XML Clustering. In Proceedings of the 2006 Siam Conference on Data Mining (SDM '06) (Maryland, USA, 2006). 2006, pp. 188--199.

Cited By

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  • (2020)Semantic Similarity of XML Documents Based on Structural and Content AnalysisProceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control10.1145/3440084.3441185(1-9)Online publication date: 17-Nov-2020
  • (2017)Structure based XML document clustering: A review2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS)10.1109/ICTUS.2017.8286068(543-547)Online publication date: Dec-2017
  • (2015)XML document clusteringArtificial Intelligence Review10.1007/s10462-012-9379-243:3(417-436)Online publication date: 1-Mar-2015
  • Show More Cited By

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cover image ACM Conferences
SAC '08: Proceedings of the 2008 ACM symposium on Applied computing
March 2008
2586 pages
ISBN:9781595937537
DOI:10.1145/1363686
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 16 March 2008

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Author Tags

  1. XML
  2. clustering
  3. data mining

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SAC '08
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SAC '08: The 2008 ACM Symposium on Applied Computing
March 16 - 20, 2008
Fortaleza, Ceara, Brazil

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all
  • (2020)Semantic Similarity of XML Documents Based on Structural and Content AnalysisProceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control10.1145/3440084.3441185(1-9)Online publication date: 17-Nov-2020
  • (2017)Structure based XML document clustering: A review2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS)10.1109/ICTUS.2017.8286068(543-547)Online publication date: Dec-2017
  • (2015)XML document clusteringArtificial Intelligence Review10.1007/s10462-012-9379-243:3(417-436)Online publication date: 1-Mar-2015
  • (2014)EXCLSInternational Journal of Web Engineering and Technology10.1504/IJWET.2014.0675399:4(303-329)Online publication date: 1-Feb-2014
  • (2014)Towards improving XML search by using structure clustering techniqueJournal of Information Science10.1177/016555151456052341:2(146-166)Online publication date: 12-Dec-2014
  • (2014)XML clustering: a review of structural approachesThe Knowledge Engineering Review10.1017/S026988891400021630:03(297-323)Online publication date: 29-Oct-2014
  • (2013)Structural and semantic similarity for XML comparisonProceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems10.1145/2536146.2536147(177-181)Online publication date: 28-Oct-2013
  • (2013)Exploring dictionary-based semantic relatedness in labeled tree dataInformation Sciences: an International Journal10.1016/j.ins.2012.07.038220(244-268)Online publication date: 1-Jan-2013
  • (2013)A Prufer Sequence Based Approach to Measure Structural Similarity of XML DocumentsOn the Move to Meaningful Internet Systems: OTM 2013 Workshops10.1007/978-3-642-41033-8_81(639-648)Online publication date: 2013
  • (2012)Fuzzy Approaches to Clustering XML StructuresXML Data Mining10.4018/978-1-61350-356-0.ch008(177-198)Online publication date: 2012
  • Show More Cited By

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