Exploiting Background Information in Knowledge Discovery from Text

Journal of Intelligent Information Systems

Volumn 9, Issue 1, 1997, Pages 83-97

  Feldman, Ronen ^a   Hirsh, Haym ^b  

^a BAR ILAN UNIVERSITY   (Israel)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Association mining; Background knowledge; Constraint processing; Query languages; Textual databases

Indexed keywords

COMPUTATIONAL LINGUISTICS; CONSTRAINT THEORY; GRAPHICAL USER INTERFACES; INFORMATION RETRIEVAL; KNOWLEDGE ACQUISITION; QUERY LANGUAGES;

ASSOCIATION MINING; KNOWLEDGE DISCOVERY QUERY LANGUAGES; TEXTUAL DATABASES;

DISTRIBUTED DATABASE SYSTEMS;

EID: 0031187250     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008693204338     Document Type: Article

References (11)

1. Agrawal, A., Imielinski, T., and Swami, A. (1993). Mining association rules between sets of items in large databases. In Proc. of the ACM SIGMOD Conference on Management of Data (pp. 207-216).
2. Agrawal, A. and Srikant, R. (1994). Fast algorithms for mining association rules. In Proceedings of the VLDB Conference, Santiago, Chile.
3. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., and Verkamo, I. (1995). Fast Discovery of Association Rules. In U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining (pp. 307-328), AAAI Press.
4. Apte, C., Damerau, F., and Weiss, S. (1994). Towards language independent automated learning of text categorization models. In Proceedings of ACM-SIGIR Conference on Information Retrieval.
5. Dagan, I., Feldman, R., and Hirsh, H. (1996). Keyword-based browsing and analysis of large document sets. In Proceedings of SDAIR96, Las Vegas, Nevada.
6. Feldman R. and Dagan I. (1995). KDT - Knowledge discovery in texts. In Proceedings of the First International Conference on Knowledge Discovery (KDD-95).
7. Feldman, R., Dagan, I., and Kloesgen, W. (1996). Efficient algorithms for mining and manipulating associations in texts. In Proceedings of EMCSR96, Vienna, Austria.
8. Imielinski, T. (1995). Invited talk. The First International Conference on Knowledge Discovery (KDD-95).
9. Iwayama, M. and Tokunaga, T. (1994). A probabilistic model for text categorization based on a single random variable with multiple values. In Proceedings of the 4th Conference on Applied Natural Language Processing.
10. Klemettinen, M., Mannila, H., Ronkainen, P., Toivonen, H., and Verkamo, A. (1994). Finding interesting rules from large sets of discovered association rules. In Proceedings of the 3rd International Conference on Information and Knowledge Management.
11. Mannila, H., Toivonen, H., and Verkamo, A. (1994). Efficient Algorithms for Discovering Association Rules. In KDD-94: AAAI Workshop on Knowledge Discovery in Databases, 181-192.