By Martin Kersten (auth.), Yannis Ioannidis, Marc H. Scholl, Joachim W. Schmidt, Florian Matthes, Mike Hatzopoulos, Klemens Boehm, Alfons Kemper, Torsten Grust, Christian Boehm (eds.)
The sequence of overseas meetings on Extending Database expertise (EDBT) is a longtime and prestigious discussion board for the alternate of the newest learn leads to info administration. It offers specified possibilities for database researchers, practitioners, builders, and clients to discover new principles, options, and instruments, and to replace studies. This quantity includes the complaints of the tenth EDBT convention, held in Munich, Germany, March 27-29, 2006. The convention integrated three keynote talks, fifty six huge and four half-size examine papers in 20 periods, eight commercial displays in three periods, 1 panel consultation, five tutorials in 7 periods, and 20 demonstrations in four periods. all the examine papers in addition to papers and abstracts from lots of the different classes are integrated right here. unusual individuals of the database and information-retrieval groups brought the 3 keynotes, that have been all within the spirit of the banner subject matter selected for EDBT 2006: “From Database structures to common facts administration. ” Martin Kersten, a pioneer within the quarter of database aid for ambient program environments and the investigator of numerous kernel database architectures, mentioned a number of demanding concerns that come up in natural database structures, i. e. , structures that may be embedded in numerous functions and feature autonomic habit. Alan Smeaton, a pacesetter in content-based retrieval of knowledge in a wide selection of media, brought us to the area of electronic video libraries and challenged us with numerous open difficulties linked to their powerful management.
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Extra info for Advances in Database Technology - EDBT 2006: 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006
8. A. Deligiannakis and N. Roussopoulos. “Extended wavelets for multiple measures”. In ACM SIGMOD, 2003. 9. A. Dobra, M. N. Garofalakis, J. Gehrke, and R. Rastogi. “Processing complex aggregate queries over data streams”. In ACM SIGMOD, 2002. 10. M. Garofalakis and A. Kumar. “Deterministic Wavelet Thresholding for Maximum-Error Metrics”. In ACM PODS, 2004. 11. A. Gilbert, Y. Kotidis, S. Muthukrishnan, and M. Strauss. “One-pass wavelet decomposition of data streams”. IEEE TKDE, 15(3), 2003. 12. A.
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In ACM PODS, 2004. 11. A. Gilbert, Y. Kotidis, S. Muthukrishnan, and M. Strauss. “One-pass wavelet decomposition of data streams”. IEEE TKDE, 15(3), 2003. 12. A. Gilbert, S. Guha, P. Indyk, Y. Kotidis, S. Muthukrishnan, and M. Strauss. “Fast, smallspace algorithms for approximate histogram maintenance”. In ACM STOC, 2002. 13. A. Gilbert, Y. Kotidis, S. Muthukrishnan, and M. Strauss. “How to summarize the universe: Dynamic maintenance of quantiles”. In VLDB, 2002. 14. S. Guha and B. Harb. “Wavelet Synopsis for Data Streams: Minimizing non-Euclidean Error” In KDD, 2005.
Advances in Database Technology - EDBT 2006: 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006 by Martin Kersten (auth.), Yannis Ioannidis, Marc H. Scholl, Joachim W. Schmidt, Florian Matthes, Mike Hatzopoulos, Klemens Boehm, Alfons Kemper, Torsten Grust, Christian Boehm (eds.)