Get Advances in Intelligent Data Analysis: 4th International PDF

By Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer (auth.), Frank Hoffmann, David J. Hand, Niall Adams, Douglas Fisher, Gabriela Guimaraes (eds.)

ISBN-10: 3540425810

ISBN-13: 9783540425816

This booklet constitutes the refereed complaints of the 4th overseas convention on clever facts research, IDA 2001, held in Cascais, Portugal, in September 2001.
The 37 revised complete papers provided have been rigorously reviewed and chosen from a complete of virtually one hundred fifty submissions. All present points of this interdisciplinary box are addressed; the components lined comprise facts, man made intelligence, neural networks, computing device studying, info mining, and interactive dynamic facts visualization.

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Additional info for Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001 Cascais, Portugal, September 13–15, 2001 Proceedings

Example text

All the counting values are stored, and thus no other computation is required except the computation of the corresponding ratios. This algorithm provides thus a method to reduce the cost of the generation of fuzzy summaries. The 3 Two frequent item sets generate a candidate if they share k −2 terms. The candidate is then obtained by taking the k − 2 shared terms and the two distinct ones from each of the two sets. Generating Fuzzy Summaries from Fuzzy Multidimensional Databases 31 minimal support is specified by the user (in this approach, covering and support refer to the same concept).

D. Dubois and H. Prade, Fuzzy sets in data summaries - Outline of a new approach, in Proc. of IPMU, Granada (Spain), pp 1035-1040, 2000. 6. J. R. Yager and S. Zadrozny, A fuzzy logic based approach to linguistic summaries of databases, in J. of Applied Mathematics and Computer Science, 2000. 7. M. Kamber, J. Han and J. Y. Chiang, Metarule-Guided Mining of MultiDimensional Association Rules, in KDD, 1997. 8. A. Laurent, B. Bouchon-Meunier, A. Doucet, S. Gan¸carski and C. Marsala, Fuzzy Data Mining from Multidimensional Databases, in Studies in Fuzziness and Soft Computing, 54:278-283, Springer-Verlag, 2000.

Med Doc. 82 3204 1460 1398 1033 Terms Quer. 3p Avg. 4 Table 4. Main characteristics of the used collections. Term reweighting and query expansion experiments. even using qe1, with the same pattern as CACM. Finally, CISI exhibits a quite uniform behaviour across the different weighting methods. 6 Concluding Remarks In this paper we have introduced a relevance feedback method for the Bayesian Network Retrieval model based on partial evidences. We have presented the theoretical frame over it is based on, and empirically shown how this method has a robust behaviour with four of the five standard test collections that we have used.

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Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001 Cascais, Portugal, September 13–15, 2001 Proceedings by Elizabeth Bradley, Nancy Collins, W. Philip Kegelmeyer (auth.), Frank Hoffmann, David J. Hand, Niall Adams, Douglas Fisher, Gabriela Guimaraes (eds.)


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