文章基本信息

标题：Proficient Pattern Selection for Supervised Tagging
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作者：A.P.V.Raghavendra ; I.Vasudevan ; M.Senthil Kumar 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：12
页码：15152-15157
DOI：10.18535/Ijecs/v4i12.11
出版社：IJECS
摘要：Pattern selection encompasses pinpointing a subsection of the most important features that is well-suited results asclassification features. A pattern selection algorithm may be appraised from both the good organization and usefulness points of view.Although the good organization concerns the time necessary to discover a subsection of pattern, the usefulness is related to theexcellence of the subsection of features. Latest methodologies for classification data are based on metric resemblances. To reduceunfairness measures using graph-based algorithm to replace this process in this project using more recent approaches like AffinityPropagation (AP) algorithm can take as input also general non metric similarities
关键词：Data mining; Pattern selection; Feature classification; Supervised; Affinity propagation