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Titlebook: Software and Data Technolgoies; Third International José Cordeiro,Boris Shishkov,Markus Helfert Conference proceedings 2009 Springer-Verla

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Conference proceedings 2009ch was organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICRE
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Anomaly Detection Using Behavioral Approaches better detect novel attacks. Experimental studies carried out on real and simulated . traffic show that these enhanced decision rules improve detecting most novel attacks without triggering higher false alarm rates.
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1865-0929 tugal, which was organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technol
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Increasing Data Set Incompleteness May Improve Rule Set Qualityn for the original, complete data sets. Thus, rule sets induced from some data sets may be improved by increasing incompleteness of data sets. It appears that by removing some attribute values, the rule induction system, forced to induce rules from remaining information, may induce better rule sets.
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