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。
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。
Aim To put forward association rule mining algorithm based on relation algebra theory.
目的提出基于关系代数理论的关联规则挖掘算法。
Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
The date-set are managed equally and conformably in the traditional association rule mining algorithm.
传统的关联规则挖掘算法对更新的数据集按平等一致的方式加以处理。
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。
Aiming to property feature of database in spatial data mining, mining algorithm based on binary is used to spatial data mining.
针对空间数据挖掘中数据库的属性特点，将基于二进制的挖掘算法应用于空间数据挖掘中。
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。
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。
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。
Peculiarity association rule mining algorithm RSFPA based on FP-tree is presented by using FP-tree idea oriented association rule miming.
运用面向关联规则的FP树构造方法，提出了一种特异关联规则挖掘算法rsfpa。
This paper firstly presents a power set-based association rules mining algorithm which USES pow er set as an association rules mining tool.
首次提出了利用幂集作为挖掘关联规则的工具，给出了基于幂集的关联规则挖掘算法。
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。
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become become issues.
对大型数据库进行数据开采时，数据抽取问题及数据库和开采算法的接口设计就变得十分重要。
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。
This paper constructs the model in stocks transactions and gives the data pre-process algorithms and implements the mining algorithm of such rules.
文中针对股票交易建立了一种分析模型，并给出该模型的数据预处理算法。
It often needs one to sift through mountains of data which a typical mining tool has missed because of the assumptions made in writing the mining algorithm.
它往往需要一个筛选数据的群山一个典型的挖掘工具，已经错过了，因为在写挖掘算法作出的假设。
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。
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.
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。
A frequent embedded subtree mining algorithm based on discrete interval, called DIFTM algorithm, was presented by using discrete interval to construct project database.
针对频繁嵌入式子树挖掘，利用离散区间来构造投影库，给出一种基于离散区间的频繁嵌入式子树挖掘算法。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
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。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
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