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一种高效挖掘关联规则的算法研究
  • ISSN号：2095-6002
  • 期刊名称：《食品科学技术学报》
  • 时间：0
  • 分类：TP301.6[自动化与计算机技术—计算机系统结构;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,吉林132000, [2]北京电子科技学院计算机科学与技术系,北京100070, [3]北京科技大学信息工程学院,北京100083
  • 相关基金：国家自然科学基金项目（70431002）;国家科技成果重点推广计划资助项目（2003EC000001）
作者： 金玮[1], 张克君[2], 杨炳儒[3]
关键词： 数据挖掘, 关联规则, 多维链表, data mining, association rules, multi-dimension link list
中文摘要：

在对经典的关联规则算法进行了分析后，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．实验结果表明该算法是可行的，并具有较高的效率．

英文摘要：

After analyzing the classical algorithms of association rules,it proposes the ARMLL algorithm based on multi-dimension link list. Through the comparison operation of the transaction ID sets recording frequent sets in database and link list operation, The ARMLL algorithm can obviously improve the association rules mining efficiency. The experiment results show that the algorithms are valid and fast.

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期刊信息
  • 《食品科学技术学报》
  • 主管单位:北京市教育委员会
  • 主办单位:北京工商大学
  • 主编：孙宝国
  • 地址：北京市海淀区阜成路33号北京工商大学
  • 邮编：100048
  • 邮箱：spxb@btbu.edu.cn
  • 电话：010-68984535
  • 国际标准刊号：ISSN：2095-6002
  • 国内统一刊号：ISSN：10-1151/TS
  • 邮发代号:
  • 获奖情况:
  • 2015年入选中国科技核心期刊2015年入选RCCSE中...
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘（网络版）,英国食品科技文摘
  • 被引量:695