By Florez G., Bridges S.M., Vaughn R.B.
We've got been utilizing fuzzy info mining suggestions to extract styles that symbolize basic habit for intrusion detection. during this paper we describe numerous adjustments that we have got made to the information mining algorithms to be able to enhance accuracy and potency. We use units of fuzzy organization ideas which are mined from community audit info as versions of "normal habit. To notice anomalous habit, wegenerate fuzzy organization principles from new audit info and compute the similarity with units mined from "normal" info. If the similarity values are less than a threshold price, an alarm isissued. during this paper we describe an set of rules for computing fuzzy organization principles in keeping with Borgelt's prefix bushes, variations to the computation of help and self assurance offuzzy principles, a brand new technique for computing the similarity of 2 fuzzy rule units, and have choice and optimization with genetic algorithms. Experimental effects reveal that we will in achieving greater working time and accuracy with those differences.
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Additional info for An Improved Algorithm for Fuzzy Data Mining for Intrusion Detection
Spaces, commas, tabs, or other characters are used to separate variables. The variables are recorded in the same order for each case but not necessarily in the same column locations. This is also referred to as freefield format. Some 36 Chapter 3 applications export text data in comma-separated values (CSV) format; this is a delimited format. Fixed width. Each variable is recorded in the same column location on the same line (record) for each case in the data file. No delimiter is required between values.
No delimiter is required between values. In fact, in many text data files generated by computer programs, data values may appear to run together without even spaces separating them. The column location determines which variable is being read. Complex data files are typically also fixed-width format data files. Simple Text Data Files In most cases, the Text Wizard (File menu, Read Text Data) provides all of the functionality that you need to read simple text data files. You can preview the original text data file and resulting SPSS data file as you make your choices in the wizard, and you can paste the command syntax equivalent of your choices into a command syntax window at the last step.
DELIMITERS = "," specifies the comma as the delimiter between values. QUALIFIER = '"' specifies that values that contain commas are enclosed in double quotes so that the embedded commas won’t be interpreted as delimiters. FIRSTCASE = 2 skips the top line that contains the variable descriptions; otherwise, this line would be read as the first case. ADATE10 specifies that the variable Date_Hired is a date variable of the general format mm/dd/yyyy. For more information, see Reading Different Types of Text Data on p.
An Improved Algorithm for Fuzzy Data Mining for Intrusion Detection by Florez G., Bridges S.M., Vaughn R.B.