文章基本信息

标题：A Mining Algorithm to Generate the Candidate Pattern for Authorship Attribution for Filtering Spam Mail
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作者：Khongbantabam Susila Devi ; Dr. R. Ravi
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：2
页码：1917-1921
出版社：TechScience Publications
摘要：Cyber criminals have been using internet for sharing of large amount of illegal activities universally in anonymous manner, making the forensic investigator to difficult to trace the identity of authors. The pattern decomposition algorithm significantly reduced the size of the data sets on each pass making it more efficient to mine all frequent patterns in large data sets, but it needs the support of data sets pattern to satisfy the given requirement of minimum support. Here we proposed a new data mining algorithm called Max-miner which uses the heuristic bottom up search to identify the frequent patterns as early as possible. It increases 40% of the performance compared with the aprior and decomposition algorithm and provides the high pattern matching score and counts of the frequent item sets.
关键词：Pattern Matching; Decomposition Algorithm;Data Mining; Max-miner Algorithm