Achard F., Vaysseix G. & Barillot E.2001. XML, bioinformatics and data integration. Bioinformatics17(1), 115–125.

Aggarwal C. C., Ta N., Wang J., Feng J. & Zaki M.2007. XProj: a framework for projected structural clustering of XML documents. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’07, 46–55.

Aggarwal C. C. & Zhai C. (eds) 2012. Mining Text Data, Springer.

Aïtelhadj A., Boughanem M., Mezghiche M. & Souam F.2012. Using structural similarity for clustering XML documents. Knowledge and Information Systems32(1), 109–139.

Algergawy A., Mesiti M., Nayak R. & Saake G.2011. XML data clustering: an overview. ACM Computing Surveys43(4), 25:1–25:41.

Alishahi M., Naghibzadeh M. & Aski B. S.2010. Tag name structure-based clustering of XML documents. International Journal of Electrical and Computer Engineering2(1), 119–126.

Andreopoulos B., An A., Wang X. & Schroeder M.2009. A roadmap of clustering algorithms: finding a match for a biomedical application. Briefings in Bioinformatics10(3), 297–314.

Ankerst M., Breunig M. M., Kriegel H.-P. & Sander J.1999. OPTICS: ordering points to identify the clustering structure. SIGMOD Record28(2), 49–60.

Antonellis P., Makris C. & Tsirakis N.2008. XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries. In Proceedings of the 2008 International Conference on Advances in Computer, SAC’08, 1081–1088.

Ausbrooks R., Buswell S., Carlisle D., Chavchanidze G., Dalmas S., Devitt S., Diaz A., Dooley S., Hunter R., Ion P., Kohlhase M., Lazrek A., Libbrecht P., Miller B., Miner R., (deceased), Rowley C., Sargent M., Smith B., Soiffer N., Sutor R., & Watt S.2014. Mathematical Markup Language (MathML), Version 3.0, 2nd Edition. In Carlisle, D., Ion, P. & Miner, R. (eds). W3C, http://www.w3.org/TR/MathML3/.

Baeza-Yates R. A. & Ribeiro-Neto B. A.1999. Modern Information Retrieval, ACM Press/Addison-Wesley.

Bennett C. H., Gacs P., Li M., Vitanyi P. M. B. & Zurek W. H.1998. Information distance. IEEE Transactions on Information Theory44(4), 1407–1423.

Bertino E., Guerrini G. & Mesiti M.2008. Measuring the structural similarity among XML documents and DTDs. Journal of Intelligent Information Systems30(1), 55–92.

Brzezinski D., Lesniewska A., Morzy T. & Piernik M.2011. XCleaner: a new method for clustering XML documents by structure. Control and Cybernetics40(3), 877–891.

Buttler D.2004. A short survey of document structure similarity algorithms. In Proceedings of the 5th International Conference on Internet Computing, 3–9.

Candillier L., Tellier I. & Torre F.2006. Transforming XML trees for efficient classification and clustering. In Proceedings of the 4th International Conference of the Initiative for the Evaluation of XML Retrieval, INEX’05, 469–480.

Chawathe S. S.1999. Comparing hierarchical data in external memory. In Proceedings of the 25th International Conference on Very Large Data Bases, VLDB’99, 90–101.

Chawathe S. S., Rajaraman A., Garcia-Molina H. & Widom J.1996. Change detection in hierarchically structured information. In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, SIGMOD ’96, 493–504.

Costa G., Manco G., Ortale R. & Tagarelli A.2004. A tree-based approach to clustering XML documents by structure. In Proccedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD’04, 137–148.

Cover T. M. & Thomas J. A.1991. Elements of Information Theory, Wiley-Interscience.

Crescenzi V., Mecca G. & Merialdo P.2001. RoadRunner: towards automatic data extraction from large web sites. In Proceedings of the 27th International Conference on Very Large Data Bases, VLDB’01, 109–118.

Crescenzi V., Merialdo P. & Missier P.2005. Clustering web pages based on their structure. Data & Knowledge Engineering54(3), 279–299.

Dalamagas T., Cheng T., Winkel K.-J. & Sellis T.2006. A methodology for clustering XML documents by structure. Information Systems31(3), 187–228.

Dalamagas T., Cheng T., Winkel K.-J. & Sellis T. K.2004. Clustering XML documents by structure. In Proceedings of the 3rd Hellenic Conference on Artificial Intelligence, SETN’04, 112–121.

Dempster A. P., Laird N. M. & Rubin D. B.1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. Series B (Methodological)39(1), 1–38.

Dolin R. H., Alschuler L., Boyer S., Beebe C., Behlen F. M., Biron P. V. & Shvo A. S.2006. HL7 clinical document architecture, release 2. Journal of the American Medical Informatics Association13(1), 30–39.

Doucet A. & Lehtonen M.2006. Unsupervised classification of text-centric XML document collections. In Proceedings of the 5th International Conference of the Initiative for the Evaluation of XML Retrieval, INEX’06, 497–509.

Ester M., Kriegel H.-P., Sander J. & Xu X.1996. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, KDD’96, 226–231.

Flesca S., Manco G., Masciari E., Pontieri L. & Pugliese A.2002. Detecting structural similarities between XML documents. In Proceedings of the 5th International Workshop on the Web and Databases, WebDB’02, 55–60.

Flesca S., Manco G., Masciari E., Pontieri L. & Pugliese A.2005. Fast detection of XML structural similarity. IEEE Transactions on Knowledge and Data Engineering17(2), 160–175.

Goldman R. & Widom J.1997. DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases. Technical report no. 1997-50, Stanford InfoLab.

Guerrini G., Mesiti M. & Sanz I.2007. An overview of similarity measures for clustering XML documents. In Web Data Management Practices: Emerging Techniques and Technologies, chapter 3, Vakali, A. & Pallis, G. (eds)., 56--78. Idea Group Inc. (IGI).

Guha S., Rastogi R. & Shim K.1998. CURE: an efficient clustering algorithm for large databases. SIGMOD Record27(2), 73–84.

Guha S., Rastogi R. & Shim K.2000. ROCK: a robust clustering algorithm for categorical attributes. Information Systems25(5), 345–366.

Hadzic F., Hecker M. & Tagarelli A.2011. XML document clustering using structure preserving flat representation of XML content and structure. In Proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA’11, 403–416.

Hagenbuchner M., Sperduti A., Tsoi A. C., Trentini F., Scarselli F. & Gori M.2006. Clustering XML documents using self-organizing maps for structures. In Proceedings of the 4th International Conference of the Initiative for the Evaluation of XML Retrieval, INEX’05, 481–496.

Han J.2005. Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers Inc.

Hartigan J. A. & Wong M. A.1979. A K-means clustering algorithm. Journal of the Royal Statistical Society Series C Applied Statistics28, 100–108.

Helmer S.2007. Measuring the structural similarity of semistructured documents using entropy. In Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB’07, VLDB Endowment, 1022–1032.

Helmer S., Augsten N. & Böhlen M.2012. Measuring structural similarity of semistructured data based on information-theoretic approaches. VLDB Journal21(5), 677–702.

Hubert L. J. & Levin J. R.1976. A general statistical framework for accessing categorical. Psychological Bulletin83, 1072–1082.

Husek D., Pokorny J., Rezankova H. & Snasel V.2007. Data clustering: from documents to the web. In Web Data Management Practices: Emerging Techniques and Technologies, chapter 1, Vakali, A. & Pallis, G. (eds)., 1--33. Idea Group Inc. (IGI).

Hwang J. H. & Ryu K. H.2004. A new XML clustering for structural retrieval. In Proceedings of the 23rd International Conference on Conceptual Modeling, ER’04, 377–387.

Hwang J. H. & Ryu K. H.2010. A weighted common structure based clustering technique for XML documents. Journal of Systems and Software83(7), 1267–1274.

Jain A. K., Murty M. N. & Flynn P. J.1999. Data clustering: a review. ACM Computing Surveys31(3), 264–323.

Johnson S.1967. Hierarchical clustering schemes. Psychometrika32, 241–254.

Kohonen T.1989. Self-Organization and Associative Memory, 3rd edition. Springer-Verlag New York Inc.

Kutty S., Nayak R. & Li Y.2010. Utilising semantic tags in XML clustering. In Proceedings of the 8th International Conference on Initiative for the Evaluation of XML Retrieval, INEX’09, 416–425.

Kutty S., Nayak R. & Li Y.2011. XML documents clustering using a tensor space model. In Proceedings of the 15th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD’11, 488–499.

Kutty S., Tran T., Nayak R. & Li Y.2007. Clustering XML documents using closed frequent subtrees: a structural similarity approach. In Proceedings of the 5th International Conference on Initiative for the Evaluation of XML Retrieval, INEX’06, 183–194.

Kutty S., Tran T., Nayak R. & Li Y.2008. Clustering XML documents using frequent subtrees. In Proceedings of the 6th International Conference on Initiative for the Evaluation of XML Retrieval, INEX’07, 436–445.

Lee M. L., Yang L. H., Hsu W. & Yang X.2002. XClust: clustering XML schemas for effective integration. In Proceedings of the 11th International Conference on Information and Knowledge Management, CIKM’02, 292–299.

Lesniewska A.2009. Clustering XML documents by structure. In 13th East-European Conference Advances on Databases and Information Systems, ADBIS’09, 238–246.

Lesniewska A. & Primke K.2008. Finding Features on the Basis of the Structure of XML Documents. Technical Report RA 16/08, Poznan University of Technology.

Leung H.-P., Chung K. F.-L., fai Chan S. C. & Luk R. W. R.2005. XML document clustering using common XPath. In International Workshop on Challenges in Web Information Retrieval and Integration, WIRI’05, 91–96.

Li J., Liu J., Liu C., Wang G., Yu J. X. & Yangt C.2007. Computing structural similarity of source XML schemas against domain XML schema. In Proceedings of the 19th Australasian Database Conference, ADC’08, 155–164.

Lian W., Cheung D. W.-l., Mamoulis N. & Yiu S.-M.2004. An efficient and scalable algorithm for clustering XML documents by structure. IEEE Transactions on Information Theory16(1), 82–96.

Moon T. K.1996. The expectation-maximization algorithm. IEEE Signal Processing Magazine13(6), 47–60.

Murray-Rust P. & Rzepa H.1995. Chemical Markup Language, http://www.xml-cml.org/.

Nayak R.2008. Fast and effective clustering of XML data using structural information. Knowledge and Information Systems14(2), 197–215.

Nayak R. & Iryadi W.2006. XMine: a methodology for mining XML structure. In Proceedings of the 8th Asia-Pacific Web Conference on Frontiers of WWW Research and Development, APWeb’06, 786–792.

Nierman A. & Jagadish H. V.2002. Evaluating structural similarity in XML documents. In Proceedings of the 5th International Workshop on the Web and Databases, WebDB’02, 61–66.

Pawlik M. & Augsten N.2011. RTED: a robust algorithm for the tree edit distance. The Proceedings of the VLDB Endowment5(4), 334–345.

Piernik M., Brzezinski D. & Morzy T.2014. Clustering XML documents by patterns. Knowledge and Information Systems, Technical report number: RA-12/2013. Poznan University of Technology. (review in progress).

Pospech T.2009. GML – Geography Markup Language, GRIN Verlag.

Rafiei D., Moise D. L. & Sun D.2006. Finding syntactic similarities between XML documents. In Proceedings of the 17th International Conference on Database and Expert Systems Applications, DEXA’06, 512–516.

Rand W. M.1971. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association66(336), 846–850.

Rousseeuw P.1987. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics20(1), 53–65.

Sankoff D. & Kruskal J. B.2000. Time Warps, String Edits, and Macromolecules, Cambridge University Press.

Selkow S.1977. The tree-to-tree editing problem. Information Processing Letters6(6), 184–186.

Sokal R. R. & Rohlf F. J.1962. The comparison of dendrograms by objective methods. Taxon11(2), 33–40.

Somervuo P. & Kohonen T.2000. Clustering and visualization of large protein sequence databases by means of an extension on the self-organizing map. In Proceedings of the 3rd International Conference on Discovery Science, DS’00, 76–85.

Tagarelli A. & Greco S.2010. Semantic clustering of XML documents. ACM Transactions on Information Systems28(1), 3:1–3:56.

Tai K.-C.1979. The tree-to-tree correction problem. The Journal of the ACM26(3), 422–433.

Tan P.-N., Steinbach M. & Kumar V.2005. Introduction to Data Mining, Addison-Wesley.

Tekli J. & Chbeir R.2012. A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics. The Journal of Web Semantics11, 14–40.

Tekli J., Chbeir R. & Yetongnon K.2009. Survey: an overview on XML similarity: background, current trends and future directions. Computer Science Review3(3), 151–173.

Theobald M.2003. Exploiting structure, annotation, and ontological knowledge for automatic classification of XML data. In Proceedings of the International Workshop on the Web and Databases, WebDB’03, 1–6.

Tran T., Nayak R. & Bruza P.2007. Document clustering using incremental and pairwise approaches. In Proceedings of the 5th International Conference on Initiative for the Evaluation of XML Retrieval, INEX’06, 4862, 222–233.

Tran T., Nayak R. & Bruza P.2008. Combining structure and content similarities for XML document clustering. In Proceedings of the 7th Australasian Data Mining Conference, AusDM’08, 219–226.

Vakali A., Pallis G. & Angelis L.2007. Clustering web information services. In Web Data Management Practices: Emerging Techniques and Technologies, chapter 2, Vakali, A. & Pallis, G. (eds)., 34--55. Idea Group Inc. (IGI).

Vercoustre A.-M., Fegas M., Gul S. & Lechevallier Y.2006. A flexible structured-based representation for XML document mining. In Proceedings of the 4th International Conference on Initiative for the Evaluation of XML Retrieval, INEX’05, 443–457.

Viyanon W., Madria S. K. & Bhowmick S. S.2008. XML data integration based on content and structure similarity using keys. In Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE, OTM’08, 484–493.

Wang T., Liu D.-X., Lin X.-Z., Sun W. & Ahmad G.2006. Clustering large scale of XML documents. In Proceedings of the 1st International Conference on Advances in Grid and Pervasive Computing, GPC’06, 447–455.

Wernecke J.2008. The KML Handbook: Geographic Visualization for the Web, 1st edition. Addison-Wesley Professional.

Westbrook J., Ito N., Nakamura H., Henrick K. & Berman H. M.2005. PDBML: the representation of archival macromolecular structure data in XML. Bioinformatics21(7), 988–992.

Wilson R., Cobb M., McCreedy F., Ladner R., Olivier D., Lovitt T., Shaw K., Petry F. & Abdelguerfi M.2003. Geographical data interchange using XML-enabled technology within the GIDB system. In XML Data Management: Native XML and XML-Enabled Database Systems, Chaudhri, A. B., Rashid, A. & Zicari, R. (eds). Addison Wesley, 354–374.

Xu R. & Wunsch I.2005. Survey of clustering algorithms. IEEE Transactions on Neural Networks16(3), 645–678.

Yang R., Kalnis P. & Tung A. K. H.2005. Similarity evaluation on tree-structured data. In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD’05, 754–765.

Yang Y., Guan X. & You J.2002. CLOPE: a fast and effective clustering algorithm for transactional data. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 682–687.

Yoon J. P., Raghavan V., Chakilam V. & Kerschberg L.2001. BitCube: a three-dimensional bitmap indexing for XML documents. Journal of Intelligent Information Systems17(2–3), 241–254.

Zaki M. J.2002. Efficiently mining frequent trees in a forest. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 71–80.

Zaki M. J. & Aggarwal C. C.2006. XRules: an effective algorithm for structural classification of XML data. Machine Learning62(1–2), 137–170.

Zhang K. & Shasha D.1989. Simple fast algorithms for the editing distance between trees and related problems. The SIAM Journal on Computing18(6), 1245–1262.

Zhao Y. & Karypis G.2002. Evaluation of hierarchical clustering algorithms for document datasets. In Proceedings of the 11th ACM International Conference on Information and Knowledge Management, CIKM’02, 515–524.

Zheng Y.-T., Li Y., Zha Z.-J. & Chua T.-S.2011. Mining travel patterns from GPS-tagged photos. In Proceedings of the 17th International Multimedia Modeling Conference, MMM’11, 262–272.

Zhu Y.-W., Ji G.-L. & Sun Q.-H.2010. Clustering GML documents using maximal frequent induced subtrees. In Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discover, FSKD’10, 5, 2265–2269.