Abstract
The paper describes Query-by-Browsing (QBB), which uses machine learning techniques to generate a database query from examples of interesting records supplied by the user. Unlike Query-by-Example, in QBB the user’s principal focus is on the actual data rather than on a schema for the database query. The system employs dual representation, displaying both a textual form of the inferred query and highlighting the selected records. This is important so that the user can recognise whether the inferred query is indeed what is required. It also fulfills an important tutorial rôle as the user can learn the form of textual queries.
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References
Alan Dix. Formal Methods for Interactive Systems,chapter 6. Academic Press, 1991.
Alan Dix. Human issues in the use of pattern recognition techniques. In Neural Networks and Pattern Recognition in Human-Computer Interaction, pages 429451. Ellis-Horwood, 1992.
Alan Dix, Janet Finlay, and Jonathan Hassell Environments for cooperating agents: Designing the interface as medium. In CSCW and Artificial Intelligence. Springer Verlag (in press), 1994.
P. W. Foltz. Using latent semantic indexing for information filters. In Proceedings of the Conference on Office Information Systems, pages 40–47, April 25–27 1990.
Stephen José Hanson. Conceptual clustering and categorisation: Bridging the gap between induction and causal models. In Machine Learning: An Artificial Intelligence Approach, Volume III, chapter 9, pages 235–268. Morgan Kaufmann, 1990.
David Haussler. Applying Valient’s learning framework to AI concept-learning problems. In Machine Learning: An Artificial Intelligence Approach, Volume III, chapter 22, pages 641–669. Morgan Kaufmann, 1990.
A. Sharif Heger and Billy V. Koen. Knowbot: An adaptive database interface. Nuclear Science and Engineering, 107: 142–157, 1991.
Ryszard S. Michalski and Yves Kodratoff. Research in machine learning: recent progress, classification of methods, and future directions. In Machine Learning: An Artificial Intelligence Approach, Volume III, chapter 1, pages 3–30. Morgan Kaufmann, 1990.
J. R. Quinlan. Discovering rules by induction from large collections of examples. In Expert Systems in the Micro Electronic Age s pages 168–201 Edinburgh University Press, 1979.
J. R. Quinlan. Induction of decision trees. Machine Learning, 1 (1), 1986.
J. R. Quinlan. Simplifying decision trees. International Journal of Man-Machine Studies, 27 (4): 221–234, 1986.
J. R. Quinlan. Decision trees and multi-valued attributes. In Machine Intelligence 11, pages 305–318. Oxford University Press, 1988.
M. M. Zloof. Query by example. In Proc. AFIPS National Computer Conf. 44, pages 431–438. AFIPS Press, New Jersey, 1975.
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© 1995 Springer-Verlag London
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Dix, A., Patrick, A. (1995). Query by Browsing. In: Sawyer, P. (eds) Interfaces to Database Systems (IDS94). Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3818-1_13
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DOI: https://doi.org/10.1007/978-1-4471-3818-1_13
Publisher Name: Springer, London
Print ISBN: 978-3-540-19910-6
Online ISBN: 978-1-4471-3818-1
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