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 foreign meetings on Extending Database know-how (EDBT) is a longtime and prestigious discussion board for the alternate of the newest learn ends up in information administration. It presents distinct possibilities for database researchers, practitioners, builders, and clients to discover new rules, ideas, 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 incorporated three keynote talks, fifty six substantial and four half-size study papers in 20 periods, eight commercial shows in three classes, 1 panel consultation, five tutorials in 7 periods, and 20 demonstrations in four periods. the entire learn papers in addition to papers and abstracts from many of the different periods are incorporated right here. unique 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 information administration. ” Martin Kersten, a pioneer within the quarter of database aid for ambient software environments and the investigator of numerous kernel database architectures, mentioned numerous demanding concerns that come up in natural database platforms, i. e. , platforms that may be embedded in numerous purposes and feature autonomic habit. Alan Smeaton, a pace-setter in content-based retrieval of data in a large choice 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 resources for Advances in Database Technology - EDBT 2006: 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006
When n ˆ 2 < n2 ). If, at a certain time, the CPU is busy, thereby imposing a computation constraint of ξ limit , we need to perform our DFT update within this constraint. If ξ update (M, n1 , n2 ) > ξ limit we cannot use all the samples n2 for the update, and hence we need to determine the optimal number of samples to retain n ˆ 2 , such that ξ update (M, n1 , n ˆ 2 ) + ξ interp ≤ ξ limit . 2. Resource Adaptive Periodicity Estimation of Streaming Data 5 35 Experiments The usefulness of the proposed resource-adaptive periodicity estimation depends on two factors: – The accuracy of the approach, which is indicated by the quality of the DFT approximation and its respective periodogram.
An Overview of Wavelet Based Multiresolution Analyses”. SIAM Review, 36(3), 1994. 17. P. Karras and N. Mamoulis. “One-pass wavelet synopses for maximum-error metrics”. In VLDB, 2005. 18. S. Manku and R. Motwani. “Approximate frequency counts over data streams”. In VLDB, 2002. 19. Y. S. Vitter, and M. Wang. “Wavelet-based histograms for selectivity estimation”. In ACM SIGMOD, 1998. 20. S. Muthukrishnan. Data streams: algorithms and applications. In SODA, 2003. 21. R. Schmidt and C. Shahabi. “Propolyne: A fast wavelet-based technique for progressive evaluation of polynomial range-sum queries”.
For example, it means that they cannot be re-examined in the course of their computation. Therefore, all algorithms need to be executed in only one pass of the data. Furthermore, if the data stream evolves, it is important to construct a model which can be rapidly updated during the course of the computation. The second requirement is more restrictive, since it needs us to design the data stream mining algorithms while taking temporal evolution into account. This means that standard data mining algorithms on static data sets cannot be easily modiﬁed to create a one-pass analogue for data streams.
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.)