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| 基于人工免疫系统的关联规则增量挖掘 | |
| 引用本文： | 苏一丹,顾新一,黎竹娟.基于人工免疫系统的关联规则增量挖掘[J].情报学报,2009,28(2). |
| 作者姓名： | 苏一丹 顾新一 黎竹娟 |
| 作者单位： | 1. 上海理工大学管理学院,上海,200093;广西大学计算机与电子信息学院,南宁,530004 2. 上海理工大学管理学院,上海,200093 3. 广西大学计算机与电子信息学院,南宁,530004 |
| 摘 要： | 本文采用人工免疫算法进行关联规则挖掘,通过权值设置发现在事务数据集中有意义的二进制关系,将挖掘工作集中在那些有着特殊权值的有意义的关联项,避免了挖掘工作在大量的无意义的关系项中搜索.实验证明,此算法是有效的且灵活性强,能在Web使用数据集中发现有意义的带权值的关联规则.同时给出了在最小支持度和最小置信度不变的情况下,在动态数据集中进行增量关联规则挖掘的方法.同样使用权值方法来提升新数据集的重要性.此方法的可行性和有效性同样在实验中体现出来. |
| 关 键 词： | 人工免疫系统 关联规则 Web使用挖掘 增量式更新 |
Incremental Updating Algorithm Based on Artificial Immune System for Mining Association Rules |
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| Su Yidan,Gu Xinyi,Li Zhujuan.Incremental Updating Algorithm Based on Artificial Immune System for Mining Association Rules[J].Journal of the China Society for Scientific andTechnical Information,2009,28(2). | |
| Authors: | Su Yidan Gu Xinyi Li Zhujuan |
| Institution: | 1;2;1.School of Management;University of Shanghai for Science and Technology;Shanghai 200093;2.College of Computer and Electronics Information;Guangxi University;Nanning 530004 |
| Abstract: | We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to handle weighted association rule mining problems where each item is allowed to have a weight.The goal is to steer the mining focus to those significant relationships involving items with significant weights rather than being flooded in the combinatorial explosion of insignificant relationships.A new algorithm is developed based on art... |
| Keywords: | artificial immune system association rules Web usage mining incremental updating |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |