图 书 馆
一种用于文本分类规则归纳的遗传算法A Genetic Algorithm for Text Classification Rule Induction |
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| 课程网址: | http://videolectures.net/ecmlpkdd08_pietramala_agaf/ |
| 主讲教师: | Adriana Pietramala; Veronica L. Policicchio |
| 开课单位: | 卡拉布里亚大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper presents a Genetic Algorithm, called Olex-GA, for the induction of rule-based text classifiers of the form ``classify document $d$ under category $c$ if $t_1 in d$ or ... or $t_n in d$ and not ($t_{n+1} in d$ or ... or $t_{n+m} in d$) holds'', where each $t_i$ is a term. Olex-GA relies on an efficient emph{several-rules-per-individual} binary representation and uses the $F$-measure as the fitness function. The proposed approach is tested over the standard test sets Reuters and Ohsumed and compared against several classification algorithms (namely, Naive Bayes, Ripper, C4.5, SVM). Experimental results demonstrate that it achieves very good performance on both data collections, showing to be competitive with (and indeed outperforming in some cases) the evaluated classifiers. Note: A prototype of the rule induction system Olex-GA described in that paper is available at the address |
| 关 键 词: | 文本分类; 遗传算法; 归纳形式 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-07-24：chenxin01 |
| 最后编审: | 2023-07-24：chenxin01 |
| 阅读次数: | 20 |