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4.2.1.4 Scrap Selection construction ranking using attribute pattern (Scrap) [285] is an instance-based lter that determines feature relevance by performing a sequential search within the instance space. Scrap considers objects (instances) one at a time, instead of typical forward or backward search. The central idea is to identify those features that change at decision boundaries in the data table the features assumed to be the most informative. An algorithmic overview may be seen in Figure 4.10. A sequential search is conducted, starting from a random object, which becomes the rst point of class change (PoC). Its nearest object with a different class label becomes the next PoC. These two PoCs de ne a neighborhood; features that change between them de ne the dimensionality of decision boundary between the two classes. If there is only one such feature that changes, this is determined to be absolutely relevant and is included in the feature subset. If more than one feature changes, their associated relevance weights, initially zero, are incremented. If objects of the same class label are closer than this new PoC and differ in only one feature, then that feature s weight is decremented. Objects determined to belong to neighborhoods are then removed from processing. The process stops when all objects have been assigned to a neighborhood. Features that have a positive relevance weight and those that have been determined to be absolutely relevant are chosen as the nal feature subset.

This section demonstrates how to migrate fontsizecgi, a simple CGI script (written in Perl), which is listed in Listing 14-2

#!/usr/bin/perl -w # Variables my $MAX = 10; my $i; # Content Header print Content-type: text/html\n\n ; # Main loop for ($i=0; $i < $MAX; $i++){ print <FONT SIZE=$i>Font Size = $i</FONT><BR> ; } exit 0;

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It is important to remember that RIS is not an island, and other client management tools, such as Group Policy, apply as well. You can actually manage some RIS setup options within Group Policy by opening the Group Policy console for the desired GPO (at the site, domain, or OU level). Under User Configuration, expand Windows Settings and double-click on the Remote Installation Service icon. You then see the policy for the Remote Installation Service. Beyond this basic option, do keep in mind that Group Policy is applied to RIS clients, just as it would be to any other clients for any GPOs configured for the site, domain, and OU in which the new computer object resides.

This CGI application produces the output shown in Figure 14-5

SCRAP(O) Input: O, the set of all objects Output: R, the feature subset (1) A {}; Wi , Wi = 0; (2) T randomObject(); PoC T (3) while O = {} (4) O O PoC; PoCnew NewPoC(PoC) (5) n = dist(PoC,PoCnew ) (6) if n = = 1 (7) i = diffFeature(PoC,X); A A {i} (8) N getClosestNeighbours(PoC,n) (9) foreach X N (10) if classLabel(X) = = classLabel(N) (11) O O X (12) if dist(PoC,X) = = 1 (13) i = diffFeature(PoC,X); Wi = Wi 1 (14) else if dist(PoC,X) > 1 (15) incrementDifferingFeatures(X,W) (16) R A (17) foreach Wi (18) if Wi > 0 R R { i} (19) return R

Now let s convert this to a FastCGI application First you need to make sure you have installed the FCGI module from a Comprehensive Perl Archive Network (CPAN) site by following these steps:

1 As root, from the command-line run the following command:

RIS supports two different types of images CD-based and Remote Installation Preparation Wizard (RIPrep) images. The basic difference is that the CD-based image is copied from the Windows 2000 Professional installation CD-ROM. You can create multiple CD-based images and assign different answer files to them for particular installation needs. RIPrep images copy an installed Windows 2000 Professional computer s hard drive and store the image on the server. This feature enables you to make an exact copy of a computer that configured as desired and has desired applications installed. RIS can then copy this drive to another computer so your computers have an exact configuration and applications already installed. The following two sections explore both of these options in more detail.

From the example dataset, Scrap rst chooses a random object, say object 1, and proceeds to nd its nearest neighbor with a different class label In this case object 12 is the PoC with two features that differ, d and e These features are said to be weakly relevant, and their weights (initially zero) are incremented The objects of a lesser distance away than object 12 with the same label as object 1 are assigned to this neighborhood Only object 5 is closer as it differs in one feature, b This results in b s weight being decremented If more than one feature differed here, the weights would not have been affected only those cases where one feature differs result in weights being reduced Object 12 now becomes the new PoC, and the algorithm continues.

2 At the cpan> prompt enter the install FCGI command, which will install the latest version of this CPAN module if you do not already have the latest 3 As the second line in the above script, add the following line:

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