Several measures of the strength are calculated by the association's mining algorithm.
强度的几种度量由关联的挖掘算法进行计算。
A query subject that USES a stored procedure to access the cluster information of the clustering model created by the mining algorithm.
查询主题使用存储过程访问由挖掘算法创建的集群模型的集群信息。
That takes us to an important point that I wanted to secretly and slyly get across to everyone: Sometimes applying a data mining algorithm to your data will produce a bad model.
这也是我想审慎地告诉大家的一点：有时候，将数据挖掘算法应用到数据集有可能会生成一个糟糕的模型。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
Web log data mining algorithm phase.
挖掘算法阶段。
The efficient data mining algorithm is the core of OLAM.
OLAM挖掘机制的核心是高效的数据挖掘算法。
So we choose RMI to realize distributed data mining algorithm.
因此本文采用了RMI技术来实现分布式数据挖掘。
This paper presents an improved multi-level association rule mining algorithm.
为此，提出一种改进的多层关联规则挖掘算法。
The search space of Multi-relational data mining algorithm becomes larger and more complex.
多关系数据挖掘算法的搜索空间变得更大、更复杂。
That is why this paper chooses a multi-relational data mining algorithm as our research object.
因此本文以多关系数据挖掘算法作为研究对象。
In order to solve this problem, this paper proposed a multi-relational frequent pattern mining algorithm.
为了解决这一问题，提出了一种多关系频繁模式挖掘算法。
Based on the project background, an improved outlier data mining algorithm for time series data is given out.
根据课题背景，给出一个针对时序数据的离群数据挖掘算法的改进算法。
The experiments show that, the algorithm the paper presents has better efficiency than similar existing mining algorithm.
实验表明，论文提出的算法比现有的同类挖掘算法具有更好的效率。
Non-redundant association rules mining algorithm is proposed to deal with the problem of huge rules' number and redundancy.
针对关联规则数量巨大并且存在极大冗余的问题，提出无冗余告警关联规则产生算法。
The paper describes the concepts and relationship of BI and data mining briefly, and introduces the popular data mining algorithm.
对商务智能、数据挖掘的概念和两者的关系做了简要的描述，并对当前流行的数据挖掘算法做了介绍。
Jay and his mentor are trying to integrate the existing data mining algorithm to the IBM spatial database software development kit.
姚君杰和他的指导老师在做的项目是将现有的数据挖掘算法与IBM的空间数据库软件开发包相整合。
In order to verify the superiority of the proposed algorithm, a comparative experiment of mining algorithm was designed in chapter 5.
为了验证提出算法的优越性，本文在第5章专门设计了一个挖掘算法对比实验。
Also, for the continuity in Diabetes Mellitus data, choosing the C4.5 algorithm in Decision Tree method to be the data mining algorithm.
同时，由于糖尿病数据的连续性，选用了决策树方法中的c4.5算法作为数据挖掘算法。
In allusion to this limitation, how to enhance the efficiency of mining algorithm becomes the core issue of association rules mining research.
针对这一局限性，如何提高挖掘算法的效率就成为了关联规则挖掘研究的核心问题。
Association rule mining algorithm is used for discovering association rules, and much research was carried out by many researchers and scholars.
关联规则挖掘算法用于发现关联规则，诸多的研究人员和学者对其进行了大量的研究。
Traditional data mining algorithm is oriented relational database and data warehouse, and can not be directly used for data mining in XML documents.
传统数据挖掘算法是面向关系数据库和数据仓库的，不能直接用于XML文档的数据挖掘。
The mining algorithm based on database partition is put forward, and the validity of the algorithm is proved by theoretical deduction and experiment.
给出了基于数据库划分的挖掘算法，通过理论推导和实验证明了该方法的有效性。
A new data-mining algorithm based on dynamic programming and dynamic time warping function was proposed and applied in technical analysis of stock market.
提出了一种基于动态规划和动态时间弯折函数的数据挖掘算法，并应用该算法对股市进行技术分析。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
基于数据变换法，提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。
Based on some sequential pattern mining algorithm, the dissertation analyzed the shortage of the MEMISP algorithm, and proposed an improved MEMISP algorithm.
本文在研究当前比较流行的一些序列模式挖掘算法的基础上，重点分析了MEMISP算法的不足。
This paper mainly introduces the research contents on text mining, mining process, mining algorithm and application foreground combined with our research work.
结合笔者研究工作，主要介绍了文本挖掘的研究内容，挖掘过程，挖掘算法及应用前景。
The paper builds tree-model of RNA molecules and utilizes frequent sub tree mining algorithm to mine common topological patterns among RNA secondary structures.
本文对RNA分子建立树形模型，利用频繁子树挖掘算法挖掘RNA二级结构中的公共拓扑模式。
On this basis, further information on the classic frequent pattern mining algorithm and income security systems of telecommunications architecture is introduced.
在此基础上，进一步介绍了频繁模式挖掘的经典算法以及电信收入保障系统的体系结构。
On this basis, further information on the classic frequent pattern mining algorithm and income security systems of telecommunications architecture is introduced.
在此基础上，进一步介绍了频繁模式挖掘的经典算法以及电信收入保障系统的体系结构。
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