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The stability is especially high when we consider the most popular queries In addition, there is a signi cant difference between the access pattern on weekdays versus that on weekends 5424 Spatial Locality Finally we consider the following question: Do people in the same geographical region tend to issue a similar set of queries We take the following approach to carry out this analysis We de ne a browse request to be locally shared if at least two users in the same cluster access the same document (URL and parameter combination) We compare the degree of sharing using geographic clustering and four random clusterings In the geographic clustering case, clients in the same city are clustered together In the random clustering case, clients are clustered randomly and the cluster size is the same as in geographic clustering.

We obtained the geographic location of users using a registration database which contains zip code information for each user The zip code information is not clean 14% of users supplied zip codes that were not ve digits, which we lter out before our analysis In the remaining entries, it is still possible to have zip codes that do not match the actual user location, but the fraction is likely to be small Figure 516 compares the fraction of documents that are shared within a geographic cluster and within four random clusters for all the users The gure shows that the curve for the geographic clusters overlaps with those for random clusters This overlap indicates that the degree of sharing between geographic clustering and random clustering is comparable, and the correlation between users interest in browsing over wireless networks and their geographic location is weak.

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A possible explanation for the weak correlation is that lots of popular content has global interest In particular, as mentioned in Section 5413, 01 05% of the URL and parameter combinations (ie, about 121 442 unique combinations) account for 90% of the requests With such a high concentration of user interest on a few documents, even when clients are picked at random, they share many requests; therefore,.

Alternating current (ac) is a current where the source emf is alternating, having a simple and convenient waveform, namely, the sine wave. Such a sine wave is illustrated in Figure A.17. Any sine wave can be characterized by its frequency, phase, and amplitude. These were introduced in Section 2.3.3, and much of that information is repeated here for direct continuity. Note in the gure that half a cycle of the sine wave is designated by p and a full cycle by 2p. Remember that there are 2p radians in a circle or 360 degrees, and 1 p

Menu terminology is often a bit confusing at first because many of the terms are similar. The following list presents the official Excel menu terminology that I refer to in this chapter: Command bar. An object that can function as a menu bar, a shortcut menu, or a toolbar. It is represented by the CommandBar object in the Microsoft Office object library. Menu bar. The row of words that appears directly below the application s title bar. Excel has two menu bars: One is displayed when a worksheet is active, and the other is displayed when a chart sheet is active or when an embedded chart is activated. Menu. A single, top-level element of a menu bar. For example, both of Excel s menu bars have a File menu. Menu item. An element that appears in the drop-down list when you select a menu. For example, the first menu item under the File menu is New. Menu items also appear in submenus and shortcut menus.

Listing 16-5 (continued)

3. 4. 5.

12. 13. 14. 15.

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