主动增量挖掘利用数据库的触发器机制调用存储过程来实现。
Active incremental data mining is implemented by applying the trigger mechanism of the database to invoke procedures.
本文提出了一个基于模式分解树，不需要扫描原数据库的增量挖掘算法。
The paper presents an algorithm for incremental mining which is based on pattern decomposing tree and has no need for scanning old data base.
在数据库中实现联机分析挖掘模型需要实现联机分析处理和主动增量挖掘。
In order to implement the on-line analytical mining model, the on-line analytical processing and the active incremental mining need to be implemented in the database.
这作为全文研究的基础，贯穿于时间序列部分周期模式挖掘和增量挖掘分析的全过程。
They are the foundation of research on Algorithm of Mining Partial Periodic Patterns and they can be used in the whole paper.
通过实验证明了算法HBEC对解决入侵检测问题是有效的，并且具有很强的增量挖掘能力。
The experiment shows that HBEC is effective to resolve the intrusion detection problem and has the strongly incremental mining ability.
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。
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.
提出了一种可直接用于快速频繁模式挖掘的频繁项目表的概念，并实现了具体的频繁模式增量挖掘方法。
Based on a new idea of frequent item table which can be directly used in fast frequent mode mining, an effective FP_growth mining algorithm is presented in this paper.
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。
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.
在此基础上提出相应的对每一个决策类建立决策矩阵的增量式挖掘算法，最后利用算例验证了算法的合理性和有效性。
After that incremental data mining algorithm of establishing decision matrix to each of decision type is put forward and the characteristic of rationality and validity are examined by example.
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。
On the basis of RAPHF, a rough set incremental algorithm with dynamic mining ability, namely, RAPHF-I is proposed by considering the updating samples.
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。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
本文主要研究基于粗集的增量算法的数据挖掘系统。
This paper research a data mining system based on incremental updating algorithms of rough set theory.
同时针对双事件时态关联规则挖掘提出一个增量算法，并给出了实验结果。
To mine temporal association rules in two events, we propose a new increment algorithm. Moreover, their experiment results are given.
在增量式动态数据库中，提出了相容性和不相容性决策系统的数据挖掘模型。
In the dynamic increment database, data mining models of consistent and inconsistent decision system are formulated.
通过对挖掘关联规则增量更新中FUP算法的关键思想以及性能进行了研究，提出了改进的FUP算法SFUP。
An improved incremental updating algorithm SFUP is developed based on study of the principle and efficiency of FUP algorithm.
在序列模式的增量式挖掘算法中，IUS算法是目前最为先进的算法。
Of all the incremental mining algorithms, the IUS is the most advanced at present.
本数据挖掘系统使用增量算法发现关联规则和提取决策规则。
The data mining system can discover association rules and decision rules.
最后，论文基于数据挖掘的理论和知识工程的增量式开发方法研制了运行优化数据检验软件和优化目标值挖掘软件。
Finally, data validation and optimization value finding software is made and integrated into UPOS according to the theory of data mining and knowledge engineering.
本文主要研究了基于孤立点因子的增量式挖掘技术。
We study the incremental data mining technology based outlier factor.
本文主要研究了基于孤立点因子的增量式挖掘技术。
We study the incremental data mining technology based outlier factor.
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