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10. The Name and Description window appears. The text you enter appears either as text in the console or as InfoTip text, depending on what option you select. Make your entries and click the Next button. 11. In the Task Icon window, shown in Figure B-15, select a desired icon for this task and click Next.

The solution is simple with mod_rewrite When the browser requests http:// hostname/~username/anypath as shown in (1) in the figure, the Web server translates it to http://newhost/~username/anypath as shown in (2) and redirects the browser to this new location On the old Web server (ie the one redirected the URL) just redirect all /~user/anypath URLs to http://new~host/~user/anypath as follows:

Finally, it is worth noting that the classi cations were checked automatically. Many Web sites can be classi ed to more than one category; however, only the designated category is considered to be correct here.

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RewriteRule ^/~(+) http://newhost/~$1 [R,L]

If you want to create additional tasks, click the Run this Wizard Again check box before clicking Finish.

Sometimes it is necessary to let the Web server search for pages in more than one directory Here, MultiViews or other techniques cannot help For example, say that you want to handle a request for http://hostname/filenamehtml so that if filenamehtml is not present in the dir1 directory of your Web server, the server tries a subdirectory called dir2 Figure 9-4 illustrates what needs to happen

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11432 Comparison with ACO-Based FRFS Table 115 shows the resulting degree of dimensionality reduction, performed via selecting informative keywords, by the standard fuzzy-rough method (FRFS) and the ACO-based approach (AntFRFS) AntFRFS is run several times, and the results averaged both for classi cation accuracy and number of features selected It can be seen that both methods drastically reduce the number of original features AntFRFS performs the highest degree of reduction, with an average of 141 features occurring in the reducts it locates To see the effect of dimensionality reduction on classi cation accuracy, the system was tested on the original training data and a test dataset The results are summarized in Table 116 Clearly, the fuzzy-rough methods exhibit better resultant accuracies for the test data than the unreduced method for all classi ers.

(filenamehtml)

Rule#1

Once you complete the wizard, you see your taskpad view and any tasks you have created in the details pane, shown in Figure B-16.

Rule#2

This demonstrates that feature selection using either FRFS or AntFRFS can greatly aid classi cation tasks It is of additional bene t to rule inducers as the induction time is decreased and the generated rules involve signi cantly fewer features AntFRFS improves on FRFS in terms of the size of subsets found and resulting testing accuracy for QSBA and PART, but not for C45 and JRip The challenging nature of this particular task can be seen in the overall low accuracies produced by the classi ers (perhaps due to over tting), though improved somewhat after feature selection Both fuzzy-rough approaches require a reasonable fuzzi cation of the input data, while the fuzzy sets are herein generated by simple statistical analysis of the dataset with no attempt made at optimizing these sets A ne-tuned fuzzi cation will certainly improve the performance of FRFS-based systems.

The rules needed to implement this are:

You can easily create new tasks, delete them, or alter your taskpad view by clicking Action Edit Taskpad View.

RewriteCond RewriteRule RewriteCond RewriteRule RewriteRule ^(+) /your/docroot/dir1%{REQUEST_FILENAME} /your/docroot/dir1$1 [L] /your/docroot/dir2%{REQUEST_FILENAME} /your/docroot/dir2$1 [L] [PT] -f

Finally, it is worth noting that the classi cations were checked automatically Many Web pages can be classi ed to more than one category; however, only the designated category is considered to be correct here..

^(+) ^(+)

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