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Ripple Down Rules (RDR) is a knowledge acquisition method which constrains the interactions between the expert and a shell to acquire only correct knowledge. Although RDR works well, it is only suitable for the problem of providing a single classification for a set of data. Multiple Classification Ripple Down Rules (MCRDR) is an extension of RDR which(More)
This paper focuses on the development of a maintainable information filtering system. The simple and efficient solution to this problem is to block the Web sites by URL, including IP address. However, it is not efficient for unknown Web sites and it is difficult to obtain complete block list. Content based filtering is suggested to overcome this problem as(More)
<b><i>Background:</i></b> Size features such as lines of code and function points are deemed essential for effort estimation. No one questions under what conditions size features are actually a "must". <b><i>Aim:</i></b> To question the need for size features and to propose a method that compensates their absence. <b><i>Method:</i></b> A baseline(More)
Automated help desk systems should retrieve exactly the information required to assist a user as quickly and as easily as possible be it for a lay user who knows little about the domain or for an advanced user who requires more specialized information. Automated help desk systems should also be easily maintainable, as knowledge in domains where help is(More)
Two main research areas in statistical text categorization are similarity based learning algorithms and associated thresholding strategies. The combination of these techniques significantly influences the overall performance of text categorization. After investigating two similarity-based classifiers (k-NN and Rocchio) and three common thresholding(More)
Knowledge Discovery techniques find new knowledge about a domain by analysing existing domain knowledge and examples of domain data. These techniques typically involve using a human expert and automated software analysis (Data Mining). Often the human expertise is used initially to choose which data is processed, and then finally to determine which results(More)