Structuring domain-specific text archives by deriving a probabilistic XML DTD

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

Volumn 2431 LNAI, Issue , 2002, Pages 461-474

  Winkler, Karsten ^a   Spiliopoulou, Myra ^a  

^a HHL LEIPZIG GRADUATE SCHOOL OF MANAGEMENT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

ASSOCIATION RULE DISCOVERY; DOCUMENT TYPE DEFINITION; DOMAIN SPECIFIC; FREQUENT SEQUENCES; INFORMATION INTEGRATION; PROBABILISTIC XML; SEQUENCE MINING; STRUCTURE-BASED;

XML;

EID: 84864843443     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45681-3_38     Document Type: Conference Paper

References (24)

1. Sullivan, D.: Document Warehousing and Text Mining. John Wiley & Sons, New York, Chichester, Weinheim (2001) 461
2. Erdmann, M., Maedche, A., Schnurr, H.P., Staab, S.: From manual to semiautomatic semantic annotation: About ontology-based text annotation tools. In: Proceedings of the COLING 2000 Workshop on Semantic Annotation and Intelligent Content, Luxembourg (2000) 461, 462
3. Graubitz, H., Spiliopoulou, M., Winkler, K.: The DIAsDEM framework for converting domain-specific texts into XML documents with data mining techniques. In: Proceedings of the First IEEE Int. Conference on Data Mining, San Jose, CA, USA (2001) 171-178 461, 463
4. Winkler, K., Spiliopoulou, M.: Semi-automated XML tagging of public text archives: A case study. In: Proceedings of EuroWeb 2001 "The Web in Public Administration", Pisa, Italy (2001) 271-285 461, 463, 465, 470
5. Nahm, U.Y., Mooney, R. J.: Using information extraction to aid the discovery of prediction rules from text. In: Proceedings of the KDD-2000 Workshop on Text Mining, Boston, MA, USA (2000) 51-58 462
6. Feldman, R., Fresko, M., Kinar, Y., Lindell, Y., Liphstat, O., Rajman, M., Schler, Y., Zamir, O.: Text mining at the term level. In: Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery, Nantes, France (1998) 65-73 462
7. Loh, S., Wives, L.K., Oliveira, J.P.M. d.: Concept-based knowledge discovery in texts extracted from the Web. ACM SIGKDD Explorations 2 (2000) 29-39 462
8. Bruder, I., Düsterhöft, A., Becker, M., Bedersdorfer, J., Neumann, G.: GETESS: Constructing a linguistic search index for an Internet search engine. In Bouzeghoub, M., Kedad, Z., Metais, E., eds.: Natural Language Processing and Information Systems. Number 1959 in Lecture Notes in Computer Science. Springer-Verlag (2001) 227-238 462
9. Sengupta, A., Purao, S.: Transitioning existing content: Inferring organizationspezific document structures. In Turowski, K., Fellner, K. J., eds.: Tagungsband der 1. Deutschen Tagung XML 2000, XML Meets Business, Heidelberg, Germany (2000) 130-135 463
10. Moore, G. W., Berman, J. J.: Medical data mining and knowledge discovery. In: Anatomic Pathology Data Mining. Volume 60 of Studies in Fuzziness and Soft Computing., Heidelberg, New York, Physica-Verlag (2001) 72-117 463
11. Lumera, J.: Große Mengen an Altdaten stehen XML-Umstieg im Weg. Computerwoche 27 (2000) 52-53 463
12. Abiteboul, S., Buneman, P., Suciu, D.: Data on the Web: From Relations to Semistructured Data and XML. Morgan Kaufman Publishers, San Francisco (2000) 463
13. Wang, K., Liu, H.: Discovering structural association of semistructured data. IEEE Transactions on Knowledge and Data Engineering 12 (2000) 353-371 463
14. Laur, P.A., Masseglia, F., Poncelet, P.: Schema mining: Finding regularity among semistructured data. In Zighed, D. A., Komorowski, J., ?Zytkow, J., eds.: Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD 2000. Volume 1910 of Lecture Notes in Artificial Intelligence., Lyon, France, Springer, Berlin, Heidelberg (2000) 498-503 463
15. Carrasco, R.C., Oncina, J.: Learning deterministic regular grammars from stochastic samples in polynomial time. RAIRO (Theoretical Informatics and Applications) 33 (1999) 1-20 463
16. Young-Lai, M., Tompa, F.W.: Stochastic grammatical inference of text database structure. Machine Learning 40 (2000) 111-137 463
17. Agrawal, R., Srikant, R.: Mining sequential patterns. In: Proc. of Int. Conf. on Data Engineering, Taipei, Taiwan (1995) 466
18. Baumgarten, M., Büchner, A.G., Anand, S. S., Mulvenna, M.D., Hughes, J.G.: Navigation pattern discovery from internet data. In: [23]. (2000) 70-87 466
19. Gaul, W., Schmidt-Thieme, L.: Mining web navigation path fragments. In: [24]. (2000) 466
20. Spiliopoulou, M.: The laborious way from data mining to web mining. Int. Journal of Comp. Sys., Sci. & Eng., Special Issue on "Semantics of the Web" 14 (1999) 113-126 466, 469, 470, 471
21. Goldman, R., Widom, J.: DataGuides: Enabling query formulation and optimization in semistructured databases. In: VLDB'97, Athens, Greece (1997) 436-445 469
22. Witten, I. H., Frank, E.: Data Mining. Morgan Kaufmann Publishers, San Francisco (2000) 470
23. Masand, B., Spiliopoulou, M., eds.: Advances in Web Usage Mining and User Profiling: Proceedings of the WEBKDD'99Workshop. LNAI 1836, Springer Verlag (2000) 473
24. Kohavi, R., Spiliopoulou, M., Srivastava, J., eds.: KDD'2000 Workshop WEBKDD' 2000 on Web Mining for E-Commerce - Challenges and Opportunities, Boston, MA, ACM (2000) 473