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The dataset itself is a set of historical data charted over 521 days, with 38 different input features measured daily. Each day is classi ed into one of 13 categories depending on the operational status of the plant. However, these can be collapsed into just two or three categories (i.e., Normal and Faulty, or OK , Good , and Faulty) for plant monitoring purposes as many classi cations re ect similar performance. The collapsed form of classi cation is also performed to balance the class distributions present in the data. Because of the ef ciency of the actual plant the measurements were taken from, all faults appear for short periods (usually single days) and are dealt with immediately. This does not allow for a lot of training examples of faults, which is a clear drawback if a monitoring system is to be produced. Note that this dataset has been utilized in many previous studies, including that reported in [321] (to illustrate the effectiveness of applying crisp RSAR as a preprocessing step to rule induction, where a different RIA is adopted from here). The 38 conditional features account for the following ve aspects of the water treatment plant s operation (see Figure 12.1): 1. 2. 3. 4. 5. Input to plant (9 features) Input to primary settler (6 features) Input to secondary settler (7 features) Output from plant (7 features) Overall plant performance (9 features)

This program finished in 0078 seconds Parameters ---------num1 = 1[1] num2 = 3[200]

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Command Parameters ADD computer /D:domain [/Ud:User /Pd: {Password | *}][/S:Server] [/OU:ou_path] [/DC] HELP HELP command command | MORE HELP SYNTAX JOIN computer /D:domain [/OU:ou_path] [/Ud:User /Pd:{Password | *}] [/Uo:User / Po:{Password | *}] [/Reboot[:time_in_seconds]] MOVE computer /D:domain [/OU:ou_path] [/Ud:User /Pd: {Password | *}] [/Uo:User /Po: {Password | *}] [/Reboot[:time_in_seconds]] REMOVE computer /D:domain [/Ud:User /Pd:{Password | *}] [/Uo:User /Po:{Password | *}] [/Reboot[:time_in_seconds]] RENAME computer [/D:domain] [/Reboot[:time_in_seconds]] RESET computer /D:domain [/S:Server] [/Uo:User /Po:{Password | *}] VERIFY computer /D:domain [/Uo:User /Po:{Password | *}] Explanation This is a workstation or server command that adds a workstation or server account to the domain. Displays a command-line syntax screen. Displays a more detailed command-line syntax screen for a particular command. Displays the detailed command-line syntax screen for command one screen at a time. Explains how to interpret the notation used in the syntax screens. Joins a workstation or member server (computer) to a domain.

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15[/home/kabir/www]

The original dataset was split into 75% training and 25% testing data, maintaining the proportion of classi cations present. It is likely that not all of the 38 input features are required to determine the status of the plant, hence the dimensionality reduction step. However, choosing the most informative features is a dif cult task as there will be many dependencies between subsets of features. There is also a monetary cost involved in monitoring these inputs, so it is desirable to reduce this number.

Renames a Windows NT 4.0 backup domain controller (computer). Resets the secure connection between a workstation and a domain controller. Verifies the secure connection between a workstation and a domain controller.

GATEWAY_INTERFACE = 7[CGI/11] HTTP_ACCEPT = 133[image/gif, image/x-xbitmap, image/jpeg, image/pjpeg, applica] HTTP_ACCEPT_ENCODING = 13[gzip, deflate] HTTP_ACCEPT_LANGUAGE = 5[en-us] HTTP_CONNECTION = 10[Keep-Alive] HTTP_HOST = 14[rhatniteccom] HTTP_USER_AGENT = 50[Mozilla/40 (compatible; MSIE 55; Windows NT 50)] PATH = 60[/usr/bin:/bin:/usr/sbin:/sbin:/usr/X11R6/bin:/home/kabir/bin] QUERY_STRING = 15[num1=1&num2=200] REMOTE_ADDR = 14[20718323319] REMOTE_PORT = 4[2841] REQUEST_METHOD = 3[GET] REQUEST_URI = 36[/cgi-bin/cgidebugpl num1=1&num2=200] SCRIPT_FILENAME = 37[/home/kabir/www/asb2/ch12/cgidebugpl] SCRIPT_NAME = 20[/cgi-bin/cgidebugpl] SERVER_ADDR = 14[20718323320] SERVER_ADMIN = 16[you@youraddress] SERVER_NAME = 14[rhatniteccom] SERVER_PORT = 2[80] SERVER_PROTOCOL = 8[HTTP/11] SERVER_SIGNATURE = 66[<ADDRESS>Apache/2014 Server at rhatniteccom Port 80</ADD] SERVER_SOFTWARE = 20[Apache/2014 (Unix)]

As you can see, there is a ton of information that will help you to troubleshoot the problem and to fix the script quickly For example, one line in the preceding program output states that the header is malformed

from the training set Before ACOs are run to nd rules describing the next class, the full training set is reinstated A simpli ed version of the algorithm is to run just one ACO algorithm for each class, the assumption being that one rule is suf cient to describe a class Further developments allow FRANTIC to induce rules sequentially In the simpli ed form one ACO algorithm is also run for each class However, instead of running the ACOs in succession, they are run in parallel (in principle; ie, this is not as yet a true parallel implementation running on multiple processors), with each maintaining its own problem graph, pheromone levels, and heuristic values After each class has had its rules created for a particular iteration, all possible combinations of rules (one from each class) are formed into a ruleset, and this is tested on the training set.

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