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Data analysis for query processing

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Advances in Intelligent Data Analysis Reasoning about Data (IDA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1280))

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Abstract

Data analysis is needed in connection with query processing, to produce data summary information in the form of rules or assertions that allow semantic query optimisation or direct query answering without consulting the data itself. The goal of an intelligent analyser in this context is to produce robust rules, stable in the presence of data changes, which allow easy rule maintenance as data changes, and provide rapid query reformulation, refutation or answering. It must also limit the rule set to rules useful for query processing.

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References

  1. Hsu, C., Knoblock, C.A.: Rule Induction for Semantic Query Optimization. Proc. 11th International Conference on Machine Learning, 1994, pp 112–120.

    Google Scholar 

  2. Hsu, C.,Knoblock, C A.: Estimating the Robustness of Discovered Knowledge. Proc. 1st International Conf. on Knowledge Discovery and Data Mining, 1995.

    Google Scholar 

  3. Lowden, B G T., Robinson, J., Lim, K Y.: A Semantic Query Optimiser using Automatic Rule Derivation. Proc. WITS 95: 5th International Workshop on Information Technologies and Systems, Holland, 1995, pp 68–76.

    Google Scholar 

  4. Sayli, A.,Lowden, B G T.: The Use of Statistics in Semantic Query Optimisation. Proc. 13th. European Meeting on Cybernetics and Systems Research, pp 991–996, Vienna, 1996.

    Google Scholar 

  5. Shekhar, S., Hamidzadeh, B., Kohli, A., Coyle, M.: Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach. IEEE Transactions on Data and Knowledge Engineering, 5(6), 1993, pp 950–964.

    Article  Google Scholar 

  6. Shekhar, S., Srivastava, J., Dutta, S.: A Formal Model of Trade-off between Optimization and Execution Costs in Semantic Query Optimization. Proc. 14th International Conference on Very Large Databases, 1988, pp 457–467.

    Google Scholar 

  7. Siegel, M., Sciore, E., Salveter, S.: A Method for Automatic Rule Derivation to Support Semantic Query Optimization. ACM TODS 17(4) 563–600, 1992.

    Article  MathSciNet  Google Scholar 

  8. Sayli, A., Lowden, B G T.: Maintaining Derived Rules for Semantic Query Optimisation. Computer Science Memorandum 291, University of Essex, 1997.

    Google Scholar 

  9. Lowden, B G T., et al.: Modal Reasoning in Relational Systems. Journal of Database Technology (4) 4, pp 235–244, Pergamon Press, 1993.

    Google Scholar 

  10. Sayli, A., Lowden, B G T.: A Fast Transformation Method for Semantic Query Optimisation. Proc. IEEE International Database Engineering and Applications Symposium, Montreal, August 1997.

    Google Scholar 

  11. Yu, C., Sun, W.: Automatic Knowledge Aquisition and Maintenance for Semantic Query Optimisation. IEEE Transactions on Knowledge and Data Engineering, 1989.

    Google Scholar 

  12. Ishakbeyoglu, N., Ozsoyoglu, Z M.: On the Maintenance of Implication Integrity Constraints. DEXA '93: Proc. 14th Intl. Conf. on Database and Expert Systems Applications, 1993, pp 221–232. (LNCS 720)

    Google Scholar 

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Xiaohui Liu Paul Cohen Michael Berthold

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© 1997 Springer-Verlag

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Robinson, J., Lowden, B.G.T. (1997). Data analysis for query processing. In: Liu, X., Cohen, P., Berthold, M. (eds) Advances in Intelligent Data Analysis Reasoning about Data. IDA 1997. Lecture Notes in Computer Science, vol 1280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0052861

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  • DOI: https://doi.org/10.1007/BFb0052861

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63346-4

  • Online ISBN: 978-3-540-69520-2

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