陈刚, 闫英战, 刘秉权. 一种基于CAN-tree快速构建算法[J]. 微电子学与计算机, 2014, 31(1): 76-82.
引用本文: 陈刚, 闫英战, 刘秉权. 一种基于CAN-tree快速构建算法[J]. 微电子学与计算机, 2014, 31(1): 76-82.
CHEN Gang, YAN Ying-zhan, LIU Bing-quan. A Fast Construction Algorithm Based on CAN-Tree[J]. Microelectronics & Computer, 2014, 31(1): 76-82.
Citation: CHEN Gang, YAN Ying-zhan, LIU Bing-quan. A Fast Construction Algorithm Based on CAN-Tree[J]. Microelectronics & Computer, 2014, 31(1): 76-82.

一种基于CAN-tree快速构建算法

A Fast Construction Algorithm Based on CAN-Tree

  • 摘要: 增量关联挖掘领域是近几年数据挖掘研究的一个热点,而CAN-tree的提出是增量关联挖掘发展的一个重要里程碑.虽然CAN-tree适用于增量关联挖掘,但CAN-tree构建时间长,挖掘效率偏低;针对此问题,提出了一种基于CAN-tree快速构建算法,该算法增加基于哈希表的辅助存储结构,用于减少项目的查找时间,从而提高CAN-tree的构建速度;增加叶子地址表并修改节点结构及改child指针为parent指针,目的是减少剪枝时间和条件模式基的生成时间,从而提高数据挖掘效率.实验结果表明该算法有效.

     

    Abstract: The incremental association rules mining is a hot point for data mining research in recent years,and the appearance of CAN-tree is an important milepost in development of incremental mining association.Although the CAN-tree is suitable for incremental association rules mining,the CAN-tree needs long construction time,then causes low mining efficiency;In order to solve this problem,a fast construction algorithm based on CAN-tree is presented,the algorithm adds the auxiliary storage structure based on Hash which can be used to reduce project-search time,so that the construction of CAN-tree speed can be improved;Then the algorithm adds leaves address sheet and modifies node structure and changes child pointer to parent pointer,which reduce the generation time of conditional pattern base,so that the efficiency of data mining can be improved.experiment results show that the algorithm is effective.

     

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