By Stefano Ceri, Piero Fraternali, Stefano Paraboschi (auth.), Carlo Zaniolo, Peter C. Lockemann, Marc H. Scholl, Torsten Grust (eds.)

ISBN-10: 3540672273

ISBN-13: 9783540672272

EDBT 2000 is the 7th convention in a chain devoted to the development of database expertise. This year’s convention unique topic, \Connect hundreds of thousands of clients and knowledge Sources," underscores the significance of databases for the data age that's dawning with the recent millennium. the significance - rives not only from the commentary that the knowledge age basically rests on theconvergenceofcommunications,computing,andstorage.Equallyimportant, a number of the techniques and methods underlying the good fortune of databasesystems have self sufficient that means and impression for today’s dispensed details s- tems. The papers within the quantity also needs to be visible during this gentle. The EDBT 2000 convention software comprises 30 examine papers chosen through this system committee out of 187 submissions, overlaying advances in study, improvement, and purposes of databases. The convention application additionally - cludes six andapplications papers,a panel discussion,six tutorials,and numerous software program demonstrations. The convention positive factors 3 extraordinary - vited audio system: Ashish Gupta discusses database matters in digital trade, Stefano Ceri addresses the influence and demanding situations of XML on databases, and Andreas Reuter stocks his perspectives on new views on database expertise. The technical contributions awarded on the EDBT 2000 convention are colle- ed and preserved during this quantity that we're happy to offer to you with the expectancy that it'll function a worthy examine and reference software on your specialist life.

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Extra info for Advances in Database Technology — EDBT 2000: 7th International Conference on Extending Database Technology Konstanz, Germany, March 27–31, 2000 Proceedings

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6. The intention of our next experiment is to show that the optimum is not merely a hardware constant but to a large extent dependent on the data to be indexed. For this purpose, we constructed a DABS-tree on several data files containing uniformly and independently distributed points of varying dimension. The number of objects was fixed in this experiment to 12,000. We observed the block size which was generated by the Dynamically Optimizing High-Dimensional Index Structures 250000 Optimum [Bytes] 250000 Optimum [Bytes] 47 200000 150000 100000 50000 0 200000 150000 100000 50000 0 0 4 8 12 16 0 Dimension 25000 50000 75000 100000 Number of Points Fig.

E. dB = 640. e. ¯bA = ¯bB . Figures 2 (a) and (b) plot the normalized frequencies of DA and DB , respectively. e. as the shift between fˆ(ˆ r ) and r ). A vertical line in each figure indicates the normalized k-NN distance. In fˆlBnd (ˆ the figures, we have used a large k, as the effect in Figure 2 (a) is hardly visible when k = 1. According to Equation (2), the shaded area corresponds to the relative size of the candidate set. We see that there are much more candidates in the high-dimensional case, and approximation quality is thus much lower.

DA = 10 and dB = 640, we have to use 3 additional bits per dimension for DB to obtain the same approximation quality. Experiments have shown that a good approximation for d = 10 needs 5 bits per dimension. Using approximations with ¯b = 12, the quality of the bounds of a 163, 840-dimensional data set is as good as the one of the 10-dimensional data set. We conclude that the VA-File does not degenerate for very high-dimensional data sets. Observation 3: The error of bounds concentrates around εl (d, ¯b).

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Advances in Database Technology — EDBT 2000: 7th International Conference on Extending Database Technology Konstanz, Germany, March 27–31, 2000 Proceedings by Stefano Ceri, Piero Fraternali, Stefano Paraboschi (auth.), Carlo Zaniolo, Peter C. Lockemann, Marc H. Scholl, Torsten Grust (eds.)


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