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Extra info for ACTUALTESTS Oracle 1Z0-031 Exam Q and A 05 11 05

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To prefetch for the nth query, SCOUT thus only needs to consider the set of branches leaving the (n − 2)th query and the set of branches entering the n − 1th (most recent) query. The branch followed is in the intersection of both sets. As the number of queries in a series increases, the number of branches in the intersection between two consecutive queries decreases continuously and the branch the user follows can be identified reliably. Figure 6 illustrates how through iteratively reducing the set of candidates, SCOUT can reliably identify the structure the scientist follows after only a few queries.

An ) (where A1 , . . , An are standard non-temporal attributes), a periodic relation r (in our example we termed Activity) is a relation defined over the schema RP = (A1 , . . , An | V TS , V TE , Per, PatID) where: – – – – V TS is a timestamp representing the starting point of the ‘frame time’ V TE is a timestamp representing the ending point of the‘frame time’ Per is an interval, representing the duration of the repetition pattern PatID is an identifier, denoting a periodic pattern In addition, in order to code periodic patterns, an additional dedicated relation (a valid-time relation, in the sense of TSQL2) is needed (called Pattern relation).

Data Mining the SDSS SkyServer Database. Technical Report, MSR-TR-200201, Microsoft Research (2002) 3. 5 Terabyte Earthquake Simulation on the Earth Simulator. In: International Conference on Supercomputing, SC 2003 (2003) 4. : The Blue Brain Project. Nature Reviews Neuroscience 7(2), 153–160 (2006) 5. : Multidimensional Access Methods. ACM Computing Surveys 30(2) (1998) 6. : R-trees: a Dynamic Index Structure for Spatial Searching. In: SIGMOD 1984 (1984) 7. : Identifying, Tabulating, and Analyzing Contacts Between Branched Neuron Morphologies.

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