An XML-based database for knowledge discovery

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

Volumn 4254 LNCS, Issue , 2006, Pages 814-828

  Meo, Rosa ^a   Psaila, Giuseppe ^b  

^a UNIVERSITY OF TURIN   (Italy)

^b UNIVERSITY OF BERGAMO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATA MINING; DATA STORAGE EQUIPMENT; KNOWLEDGE ACQUISITION; PROBLEM SOLVING; XML;

INDUCTIVE DATABASES; INTEGRITY CONSTRAINTS; KNOWLEDGE DISCOVERY; PATTERN MANAGEMENT SYSTEMS;

DATABASE SYSTEMS;

EID: 33845273073     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11896548_61     Document Type: Conference Paper

References (13)

1. P. Alcamo, F. Domenichini, and F. Turini. An xml based environment in support of the overall kdd process. In FQAS, 2000.
2. P. V. Biron and A. Malhotra. Xml schema part 2: Data types. Technical Report REC-xmlschema-2-20010502, World Wide Web Consortium, http://www.w3.org/ TR/2001/REC-xmlschema-2-20010502/, May 2001.
3. D. Braga, A. Campi, S. Ceri, M. Klemettinen, and P. L. Lanzi. Discovering interesting information in xml data with association rules. In ACM SAC, 2003.
4. A.G. Buchner and M.Baumgarten. Data mining and xml: Current and future issues. Int. Conf., on Web Information Systems Engineering, 2000.
5. B. Catania, M. Maddalena, Mazza, E. Bertino, and S. Rizzi. A framework for data mining pattern management. In Proc. of ECML-PKDD 2004, Italy, Sept. 2004.
6. DMG. The pmml language, http://vnuw.dmg.org/pmml-v2-0.htm.
7. A. N. Edmonds. Xmlminer, xmlrule and metarule white paper. Technical report, Scientio, Inc., http://www.kdnuggets.com/news/2001/n14/7i.html, 2002.
8. T. Imielinski and H. Mannila. A database perspective on knowledge discovery. Coomunications of the ACM, 39(11):58-64, November 1996.
9. R. Meo, G. Psaila, and S. Ceri. An extension to SQL for mining association rules. Journal of Data Mining and Knowledge Discovery, 2(2), 1998.
10. G. Psaila. Enhancing the kdd process in the relational database mining framework by quantitative evaluation of association rules. In Knowledge Discovery for Business Information Systems. Kluwer Academic Publisher, January 2001.
11. S. Rizzi. Uml-based conceptual modeling of pattern-bases. In Proc. of PaRMA'04.
12. S. Rizzi, E. Bertino, B. Catania, M. Golfarelli, M. Halkidi, M. Terrovitis, P. Vassiliadis, M. Vazirgiannis, and E. Vrachnos. Towards a logical model for patterns. In ER, pages 77-90, 2003.
13. H: S. Thompson, D. Beech, M. Maloney, and N. Mendelsohn. Xml schema part 1: Structures. Technical Report REC-xmlschema-1-20010502, World Wide Web Consortium, http://www.w3.org/TR/2001/REC-xmlschema-1-20010502/, May 2001.