Discovering structural association of semistructured data

IEEE Transactions on Knowledge and Data Engineering

Volumn 12, Issue 3, 2000, Pages 353-371

  Wang, Ke ^a   Liu, Huiqing ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATIVE PROCESSING; DATA STRUCTURES; HTML; QUERY LANGUAGES; THEOREM PROVING; TREES (MATHEMATICS); WEB BROWSERS;

ASSOCIATION RULE; KNOWLEDGE DISCOVERY; OBJECT EXCHANGE MODEL; SEMISTRUCTURED DATA; WEB MINING;

DATA MINING;

EID: 0033699332     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/69.846290     Document Type: Article

References (15)

1. S. Abiteboul, "Querying Semi-Structured Data," Proc. Int'l Conf. Data Engineering, 1997. http://www-db.stanford.edu/pub/ papers/icdt97.semistructured.ps.
2. R. Agrawal, T. Imielinski, and A. Swami, "Mining Association Rules Between Sets of Items in Large Databases," Proc. SIGMOD, pp. 207-216, 1993.
3. R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules," Very Large Data Bases, pp. 487-499, 1994.
4. P. Buneman, S. Davidson, G. Hillebrand, and D. Suciu, "A Query Language and Optimization Techniques for Unstructured Data," Proc. SIGMOD, pp. 505-516, 1996.
5. D. Konopnicki and O. Shmueli, "W3QS: A Query System for the World-Wide Web," Very Large Data Bases, pp. 54-65, 1995.
6. S.B. Huffman and C. Baudin, "Toward Structured Retrieval in Semi-Structured Information Spaces," Proc. Int'l Joint Conf. Artificial Intelligence, pp. 751-756, 1997.
7. A.O. Mendelzon, G.A. Mihaila, and T. Milo, "Querying the World Wide Web," Proc. Fourth Int'l Conf. Parallel and Distributed Information Systems, 1996. ftp://ftp.db.toronto.edu/pub/papers/ pdis96.ps.gz.
8. S. Nestorov, S. Abiteboul, and R. Motwani, "Inferring Structure in Semistructured Data," Proc. Workshop Management of Semistructured Data, pp. 42-48, May 1997. See [15].
9. S. Nestorov, J. Ullman, J. Wiener, and S. Chawathe, "Representative Objects: Concise Representations of Semistructured, Hierarchical Data," Proc. Int'l Conf. Data Engineering, 1997.
10. Y. Papakonstantinuo, H. Garcia-Molina, and J. Widom, "Object Exchange Across Heterogeneous Information Sources," Proc. Int'l Conf. Data Engineering, pp. 251-260, 1995.
11. S.W. Reyner, "An Analysis of a Good Algorithm for the Subtree Problem," SIAM J. Computing, vol. 6, no. 4, Dec. 1977.
12. D.Y. Seo, D.H. Lee, K.M. Lee, and J.Y. Lee, "Discovery of Schema Information from a Forest of Selectively Labeled Ordered Trees," Proc. Workshop Management of Semistructured Data, pp. 54-59, May 1997. See [15].
13. K. Wang and H.Q. Liu, "Schema Discovery from Semistructured Data," Proc. Int'l Conf. Knowledge Discovery and Data Mining, pp. 271-274, Aug. 1997.
14. K. Wang and H.Q. Liu, "Discovering Typical Structures of Documents: A Road Map Approach," Proc. ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 146-154, Aug. 1998.
15. The Workshop on Management of Semistructured Data, 1997. http:// www.research.att.com/suciu/workshop-papers.html.