Multilevel conditional fuzzy C-means clustering of XML documents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4702 LNAI, Issue , 2007, Pages 532-539

  Kozielski, Michal ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Clustering; Clustering XML documents

Indexed keywords

CLUSTER ANALYSIS; FEATURE EXTRACTION; FUZZY CLUSTERING; HIERARCHICAL SYSTEMS; QUERY PROCESSING; XML;

CONDITIONAL FUZZY C-MEANS ALGORITHMS; FEATURE VECTORS; MULTILEVEL CLUSTERING; XML DOCUMENTS;

CLUSTERING ALGORITHMS;

EID: 38049139134     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74976-9_55     Document Type: Conference Paper

References (13)

1. Barbosa, D., Keenleyside, I., Lyons, K., Mendelzon, A.: ToXgene - the ToX XML Data Generator (2007), http://www.cs.toronto.edu/tox/toxgene
2. Dataset used in the experiments: http://dydaktyka.polsl.pl/ZTiPSK/ IndywidualnePlanyZajec/Michal_Kozielski_dane/mkoz_www.html
3. Flesca, S., et al.: Fast Detection of XML Structural Similarity. IEEE Transactions on Knowledge and Data Engineering 17(2) (2004)
4. Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A review. ACM Computing Surveys 31(3) (1999)
5. Kozielski, M.: Przyspieszanie realizacji zapytań na dokumentach XML z wykorzystaniem grupowania wzglçdem ich struktury, Bazy Danych, Nowe Technologie: Architektura, metody formalne i zaawansowana analiza danych, WKŁ, pp. 305-314 (2007)
6. Kozielski, M.: Improving the Results and Performance of Clustering Bit-encoded XML Documents. In: Proc. of ICDM Workshops 2006, pp. 60-64. IEEE Computer Society Press, Los Alamitos (2006)
7. Lian, W., et al.: An Efficient and Scalable Algorithm for Clustering XML Documents by Structure. IEEE Transactions on Knowledge and Data Engineering 16(1) (2004)
8. Liu, J., et al.: XML Clustering by Principal Component Analysis. In: Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), IEEE Computer Society Press, Los Alamitos (2004)
9. Łçski, J.: Generalized Weighted Conditional Fuzzy Clustering. IEEE Transactions on Fuzzy Systems 11(6) (2003)
10. Nayak, R.: Fast and Effective Clustering of XML Data Utilizing their Structural Information, Under publication in KAIS: Knowledge and Information Systems - An International Journal
11. Pedrycz, W.: Conditional Fuzzy C-Means. Pattern Recognition Letters 17, 625-631 (1996)
12. (2006), http://xmlmining.lip6.fr
13. Yoon, J.P., Raghavan, V., Chakilam, V.: Bitmap Indexing-based Clustering and Retrieval of XML Documents. In: Proceedings of ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, New Orleans, LA, ACM Press, New York (2001)