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。
An incremental mining technique is proposed in order to solve the problem of frequent updating of moving log database and mine the user mobility patterns.
该文主要对移动日志数据库不断更新的问题，提出了增量挖掘的方法，挖掘用户的移动模式。
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。
Mining and updating maximum frequent patterns is a key problem in data mining research.
挖掘和更新最大频繁模式是多种数据挖掘应用中的关键问题。
This framework is based on CIDF, and uses Data Mining to mine intrusion models, then automatically transforms it into intrusion detection rules for rule base's updating.
该系统基于公共入侵检测框架（CIDF）构建，当出现新攻击时，利用数据挖掘对海量数据进行挖掘，得出入侵模型后由系统自动转换为检测规则以实现规则库的自动更新。
On the basis of RAPHF, a rough set incremental algorithm with dynamic mining ability, namely, RAPHF-I is proposed by considering the updating samples.
针对负荷预测过程中样本数据是滚动更新的特点，在RAPHF的基础上提出了具有动态挖掘能力的粗糙集增量算法raphf - I。
But, if we need recalculate rules from all data to mine knowledge after updating the database, it will consume massive resources, which causes the urgent demand of the incremental mining algorithm.
但是，如果在数据库更新之后要对全部数据重新进行挖掘，需要消耗大量的资源，这导致对增量挖掘算法的迫切需求。
This paper proposes a fast algorithm DMFP and an updating algorithm IUMFP, which are based on Prefix Tree for mining maximum frequent patterns.
因此，文章提出了一种最大频繁模式的快速挖掘算法DMFP及更新算法IUMFP。
Data mining provides a new approach of the knowledge updating during the alarm correlation analyzing.
数据挖掘为告警相关性分析中知识获取提供了新的途径。
This paper research a data mining system based on incremental updating algorithms of rough set theory.
本文主要研究基于粗集的增量算法的数据挖掘系统。
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。
应用推荐