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Web信息检索技术中关联规则挖掘算法应用研究
  • ISSN号：1002-1965
  • 期刊名称：《情报杂志》
  • 时间：0
  • 分类：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]北华大学教育技术中心, [2]北京电子科技学院, [3]北京科技大学信息工程学院
  • 相关基金：国家自然科学基金项目（编号：70431002）：国家科技成果重点推广计划项目资助（编号：2003EC000001）.
作者： 金玮[1], 孙艳[1], 张克君[2], 曲文龙[3]
关键词： Web信息栓索, 数据挖掘, 关联规则, 多维链表
中文摘要：

针对Web信息检索系统在海量数据下的服务质量和效率问题，讨论了数据挖掘技术在Intemet信息检索中的运用，在经典的关联规则算法研究基础上，通过引入多维链表结构，提出了利用事务集合匹配运算和链表操作高效地挖掘关联规则的算法ARMLL用于提高Web信息检索质量。实验结果表明该算法是可行的，有较高的效率。

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期刊信息
  • 《情报杂志》
  • 北大核心期刊（2011版）
  • 主管单位:陕西省科学技术厅
  • 主办单位:陕西省科学技术信息研究所
  • 主编：薇子
  • 地址：西安市雁塔路南段99号
  • 邮编：710054
  • 邮箱：qbzz@263.net
  • 电话：029-85529749
  • 国际标准刊号：ISSN：1002-1965
  • 国内统一刊号：ISSN：61-1167/G3
  • 邮发代号:52-117
  • 获奖情况:
  • CSSCI来源期刊、中文核心期刊
  • 国内外数据库收录:
  • 中国中国人文社科核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:43855