Oracle9i Directory Service Integration and Deployment Guide by Abrecht H. PDF

By Abrecht H.

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It doesn't matter what DBMS you're using—Oracle, DB2, SQL Server, MySQL, PostgreSQL—misunderstandings can constantly come up over the correct meanings of phrases, misunderstandings that may have a major impression at the good fortune of your database tasks. for instance, listed below are a few universal database phrases: characteristic, BCNF, consistency, denormalization, predicate, repeating team, subscribe to dependency.

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W,----::':----:'::-c'---::=--_=_' -.... 7 Packing algorithms for R-trees: (a) 200 points (b) their parent MBRs, when sorting on x-low (c) the parent MBRs when sorting on the Hilbert value. A class of variations consider more general minimum bounding shapes, trying to minimize the 'dead space' that an MBR may cover. Gunther proposed the cell trees [Gun86), which introduce diagonal cuts in arbitrary orientation. J agadish proposed the polygon trees (P-trees) [Jag90b), where the minimum hounding shapes are polygons with slopes of sides 0, 45, 90, 135 degrees.

3 Z-order curves for 2x2, 4x4 and 8x8 grids. ve just described one method to compute the z-vcdue of a point in 2-d address space. The extension to nod address spaces is obvious: we just shuffle the bits from each of the n dimensions, visiting the dimensions in a round-robin fashion. The inverse is also obvious: given a z-value, we translate it to a binary number and un-shuffle its bits, to derive the n coordinate values. 2 Handling Regions The z-value of a region is more complicated. In fact, a region typically breaks into one or more pieces, each of which can be described by a z-value.

Sound Methods: If N is the number of documents, these methods usually require O(N2) time (or more) and apply graph theoretic techniques. A simplified version of such a clustering method would work as follows ([DH73b, p. 238]): An appropriate threshold is chosen and two documents with a similarity measure that exceeds the threshold are assumed to be connected with an edge. The connected components (or the maximal cliques) of the resulting graph are the proposed clusters. 50 CHAPTER 6 The problem is the selection of the appropriate threshold: different values for the threshold give different results.

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