The article introduces some research about association rules updating when the database records increase.
论文研究了事务数据库记录增加时关联规则的更新问题。
In this paper, the author mainly explores, analyzes and evaluates the algorithms FUP and FUP for association rules updating.
本文主要对典型的关联规则更新算法FUP及FUP进行分析、探讨和评价。
The article introduces some research work about the first type of association rules updating, that is, the association rules updating problem when the database record increases.
该文研究了关联规则更新的第一类问题，即数据库记录增加时的关联规则更新问题。
Data mining is a new emerging area for the research of artificial intelligence and databases, in which incremental updating of association rules is an important research topic.
数据挖掘是当今国际人工智能和数据库研究的新兴领域，而关联规则的更新是数据挖掘的一个重要研究内容。
In this paper, one new incremental updating strategy is presented for such efficient maintenance problem of association rules.
提出了一种新的增量更新策略，用来解决这一关联规则的高效维护问题。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
提出了一种新的量化关联规则挖掘算法QAR及其增量式更新算法IUQAR。
Provides a practical updating algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则更新算法。
Absrtact: In the study of updating algorithm for incremental association rules, litde research has been done on the negative incremental updating algorithm.
摘 要：在增量式关联规则更新算法的研究中，关于负增量式更新算法的研究比较少。
The work of author mainly focuses on two aspects in the following:On one hand, an incremental updating algorithm for mining association rules based on the change of database is proposed.
本文的研究工作主要包括以下两个方面：一方面，提出了基于数据库变化的关联规则增量式更新算法。
The work of author mainly focuses on two aspects in the following:On one hand, an incremental updating algorithm for mining association rules based on the change of database is proposed.
本文的研究工作主要包括以下两个方面：一方面，提出了基于数据库变化的关联规则增量式更新算法。
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