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Intrusion detection systems are increasingly a key part of systems defense. Various approaches to intrusion detection are currently being used, but they are relatively ineffective. Constructing and maintaining a misuse detection system is very labor-intensive since attack scenarios and patterns need to be analyzed and categorized, and the corresponding rules and patterns need to be carefully hand-coded...
Finding frequent itemsets is one of the most important fields of data mining and also finding the rules associated with the itemset is another important ground in association rule mining. The process of finding new techniques to reduce candidate generation in order to generate frequent itemsets efficiently is a challenging task and generating rules in order to know the purchase behaviour of the customer...
Semantic Image Annotation is a difficult task in Annotation Based Image Retrieval (ABIR) systems. Several techniques proposed in the past were lagging in efficiency and robustness. In this paper we are proposing a novel technique for automatically annotating multi-object images with higher accuracy. The colour entropy is used to eliminate the image background, and then we applied normalized cut principle...
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