Download e-book for kindle: Advances in Database Technology — EDBT 2002: 8th by Hans-Jörg Schek (auth.), Christian S. Jensen, Simonas à
By Hans-Jörg Schek (auth.), Christian S. Jensen, Simonas à altenis, Keith G. Jeffery, Jaroslav Pokorny, Elisa Bertino, Klemens Böhn, Matthias Jarke (eds.)
This booklet constitutes the refereed court cases of the eighth overseas convention on Extending Database expertise, EDBT 2002, held in Prague, Czech Republic, in March 2002.
The 36 revised complete papers offered including six commercial and alertness papers, thirteen software program demos and one invited paper have been rigorously reviewed and chosen from a complete of 207 submissions. The papers are geared up in topical sections on question transformation, facts mining, XML, complex question processing, relocating gadgets, dispensed information, disbursed processing, complicated querying, XML-advanced querying, primary question providers, estimation/histograms, and aggregation.
Read or Download Advances in Database Technology — EDBT 2002: 8th International Conference on Extending Database Technology Prague, Czech Republic, March 25–27, 2002 Proceedings PDF
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Extra resources for Advances in Database Technology — EDBT 2002: 8th International Conference on Extending Database Technology Prague, Czech Republic, March 25–27, 2002 Proceedings
Amato, F. Savino. Multimedia document search on the web. In 7th Int. World Wide Web Conference (WWW7). 4. Ricardo Baeza-Yates and Ribeiro-Neto. Modern Information Retrieval. ACM Press Series/Addison Wesley, New York, May 1999. 5. Ilaria Bartolini, Paolo Ciaccia, and Florian Waas. Feedback bypass: A new approach to interactive similarity query processing. In 27th Very Large Databases (VLDB), Rome, Italy, September 2001. 6. J. P. Callan, W. B. Croft, and S. M. Harding. The inquery retrieval system.
9. Ronald Fagin and Edward L. Wimmers. Incorporating user preferences in multimedia queries. In Proc of Int. Conf. on Database Theory, 1997. An Approach to Integrating Query Reﬁnement in SQL 33 10. M. Flickner, Harpreet Sawhney, Wayne Niblack, and Jonathan Ashley. Query by Image and Video Content: The QBIC System. IEEE Computer, 28(9):23–32, September 1995. 11. Norbert Fuhr. Logical and conceptual models for the integration of information retrieval and database systems. 1996. 12. Yoshiharu Ishikawa, Ravishankar Subramanya, and Christos Faloutsos.
The query has two similarity predicates: similar price, and close to. Both predicates return similarity scores (ps , ls ) that are combined into a single score S for the whole tuple, here we use the wsum scoring rule to combine them. Note that a similarity query contains both precise predicates and similarity predicates. In the context of a similarity query, the following concepts are important: similarity score, similarity predicate, scoring rule, and ranked retrieval. Ranked retrieval stems from the intuitive desire of users of similarity based searching systems to see the best answers ﬁrst [15,4], therefore the answers are sorted, or ranked on their overall score S.
Advances in Database Technology — EDBT 2002: 8th International Conference on Extending Database Technology Prague, Czech Republic, March 25–27, 2002 Proceedings by Hans-Jörg Schek (auth.), Christian S. Jensen, Simonas à altenis, Keith G. Jeffery, Jaroslav Pokorny, Elisa Bertino, Klemens Böhn, Matthias Jarke (eds.)