Enhancing the set-based model using proximity information

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

Volumn 2476, Issue , 2002, Pages 104-116

  Pôssas, Bruno ^a   Ziviani, Nivio ^a   Meira, Wagner ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RETRIEVAL; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS;

CO-OCCURRENCE PATTERN; COMPUTATIONAL PERFORMANCE; INFORMATION RETRIEVAL MODELS; PRUNING STRATEGY; RETRIEVAL EFFECTIVENESS; TERM OCCURRENCES; TIME-EFFICIENT; VECTOR SPACE MODELS;

VECTOR SPACES;

EID: 84958776576     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45735-6_11     Document Type: Conference Paper

References (26)

1. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD International Conference Management of Data, pages 207-216, Washington, D.C., May 1993.
2. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In The 20th International Conference on Very Large Data Bases, pages 487-499, Santiago, Chile, September 1994.
3. J.P. Callan. Passage-level evidence in document retrieval. In Proceedings of the 17th ACM SIGIR Conference on Research and Development in Information Retrieval, pages 302–310, Dublin, Ireland, 1994.
4. C. L.A. Clarke, G. V. Cormack, and F. J. Burkowski. Shortest substring ranking. In In Fourth Text REtrieval Conference (TREC-4), pages 295–304, Gaithersburg, Maryland, USA, November 1995.
5. E. Fox. Characterization of two new experimental collections in computer and information science containing textual and bibliographical concepts. Technical report, 1983. http://www.ncstrl.org.
6. D. J. Harper and C. J. Van Rijsbergen. An evaluation of feedback in document retrieval using co-occurrence data. In Journal of Documentation, volume 34, pages 189–216, 1978.
7. D. Hawking and P. Thistlewaite. Proximity operators - so near and yet so far. In In Fourth Text REtrieval Conference (TREC-4), pages 131–144, Gaithersburg, Maryland, USA, November 1995.
8. M. Kaszkeil and J. Zobel. Passage retrieval revisited. In Proceedings of the 20th ACM SIGIR Conference on Research and Development in Information Retrieval, pages 178–185, Philadelphia, Philadelphia, USA, 1997.
9. M. Kaszkeil, J. Zobel, and R. Sacks-Davis. Efficient passage ranking for document databases. In ACM Transactions on Information Systems (TOIS), volume 17(4), pages 406–439, 1999.
10. D. Knaus, E. Mittendorf, P. Schauble, and P. Sheridan. Highlighting relevant passages for users of the interactive spider retrieval system. In Proceedings of the Fourth Text REtrieval Conference (TREC-4), pages 233–244, Gaithersburg, Maryland, USA, 1996.
11. E. Mittendorf and P. Schauble. Document and passage retrieval based on hidden markov models. In Proceedings of the 17th ACM SIGIR Conference on Research and Development in Information Retrieval, pages 318–327, Dublin, Ireland, 1994.
12. M. Persin, J. Zobel, and R. Sacks-Davis. Filtered document retrieval with frequency-sorted indexes. In Journal of the American Society of Information Science, pages 749–764, 1996.
13. B. Pˆossas, N. Ziviani, W. Meira, and B. Ribeiro-Neto. Set-based model: A new approach for information retrieval. In The 25th ACM-SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, August 2002.
14. V.V. Raghavan and C.T. Yu. Experiments on the determination of the relationships between terms. In ACM Transactions on Databases Systems, volume 4, pages 240–260, 1979.
15. C. J. Van Rijsbergen. A theoretical basis for the use of co-occurrence data in information retrieval. In Journal of Documentation, volume 33, pages 106–119, 1977.
16. G. Salton, J. Allan, and C. Buckley. Approaches to passage retrieval in full text information systems. In Proceedings of the 16th ACM SIGIR Conference on Research and Development in Information Retrieval, pages 49–58, Pittsburgh, Philadelphia, USA, 1993.
17. G. Salton and C. Buckley. Term-weighting approaches in automatic retrieval. In Information Processing and Management, volume 24(5), pages 513–523, 1988.
18. G. Salton and C. S. Yang. On the specification of term values in automatic indexing. In Journal of Documentation, volume 29, pages 351-372, 1973.
19. W.M. Shaw, J.B. Wood, R.E. Wood, and H. R. Tibbo. The cystic fibrosis database: Content and research opportunities. In Library and Information Science Research, volume 13, pages 347–366, 1991.
20. H. Small. The relationship of information science to the social sciences: A cocitation analysis. In Information Processing and Management, volume 17(1), pages 39–50, 1981.
21. I. Witten, A. Moffat, and T. Bell. Managing Gigabytes. Compressing and Indexing Documents and Images. Morgan Kaufmann Publishers, 1999.
22. S.K. M. Wong, W. Ziarko, V.V. Raghavan, and P. C.N. Wong. On modeling of information retrieval concepts in vector spaces. In The ACM Transactions on Databases Systems, volume 12(2), pages 299–321, June 1987.
23. S.K. M. Wong, W. Ziarko, and P.C.N. Wong. Generalized vector space model in information retrieval. In The 8th ACM-SIGIR Conference on Research and Development in Information Retrieval, pages 18–25, New York, USA, 1985.
24. C. T. Yu and G. Salton. Precision weighting – an effective automatic indexing method. In Journal of the ACM, volume 23(1), pages 76–88, January 1976.
25. M. J. Zaki. Generating non-redundant association rules. In 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 34-43, Boston, MA, USA, August 2000.
26. J. Zobel, A. Moffat, R. Wilkinson, and R. Sacks-Davis. Efficient retrieval of partial documents. In Information Processing and Management, volume 31(3), pages 361–377, 1995.