Classification Algorithm based on MS Apriori for Rare Classes
نویسندگان
چکیده
منابع مشابه
Classification Algorithm based on MS Apriori for Rare Classes
Most of the data mining algorithm focuses on frequent patterns, few algorithm emphases on rare items, but rare items [1] also have importance, for example, network intrusion detection, where among various normal connections we need to detect the rare malicious connections. Classification of such a non-uniform data set is a challenging issue. Most classifiers perform poorly in such a data set. R...
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This paper presents a set of programme to extract the application-layer protocol features. Based on frequent itemsets mining, the program automatically extracts four most common features of a protocol: characteristic string, session tag, packet length, and packet order. It is experimentally demonstrated that this progran can significantly improve the efficiency of feature extraction, and can be...
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Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. Mining frequent patterns from large scale databases has emerged as an important problem in data mining and knowledge discovery community. A number of algorithms has been proposed to determine frequent pattern. Apriori algorithm is the first algorithm proposed in this field. With the...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/7516-0599