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。
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。
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 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。
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。
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。
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 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 introduces partition method in data cube with different confidence, expatiates on multidimensional association rule data mining algorithm based on data cube partition.
介绍了在数据立方体上对于不同可信度的数据进行分块的方法，阐述了基于数据立方体分块的多维关联规则挖掘的算法。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
属性约简是数据挖掘预处理中非常重要的一步，它通过减少信息的维数提高数据挖掘算法的效率。
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。
This thesis mainly discusses how to classify the potential customers with data mining algorithm and technology, by which there can be a correct orientation in the process of practical work.
本文主要讨论如何在信用卡一级代理过程中运用数据挖掘算法和技术对潜在客户进行分类，以便能在开展业务的过程中有所针对性。
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.
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。
Under this kind of situation, a data mining algorithm EA(efficient algorithm) is proposed, which can fast calculate the confidence in association rules, it soluted the question how to efficient mi…
针对这种情况，提出了一种高效关联规则的挖掘算法EA，解决了在挖掘关联规则过程中如何高效挖掘满足最小置信度的关联规则问题。
The algorithm makes use of the clustering technology of data mining, can apply to general radar and special radar.
这种算法利用了数据挖掘中的聚类技术，可用于常规雷达和特殊雷达的信号分选。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
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。
Aim To study the application of decision tree algorithm for medical image data mining.
目的研究决策树算法在医学图像数据挖掘中的应用。
Data mining adopts the improved ID3 algorithm and can meet the demand of load analysis and prediction.
数据挖掘采用改进ID 3算法，能够满足负荷分析和预测方面的要求。
Those are tightly associated with classification algorithm on the view of data mining.
从数据挖掘的观点来看，它们都与分类算法密切相关。
There are some various algorithms in data mining, and decision tree classification algorithm is the most popular one.
在数据挖掘中存在多种算法，决策树分类算法是应用比较多的一种。
This paper proposes a rough spectral clustering algorithm and apply the algorithm on text data mining.
该文提出了一种粗糙谱聚类算法，并将其应用于文本数据挖掘。
Mining association rules with ontological information bases on built domain ontology, using an algorithm of data mining, to produce semantic association rules which are more greatly satisfying users.
基于本体的关联规则挖掘，是利用构建好的领域本体，结合数据挖掘算法，产生出具有语义的更符合用户需求的关联规则。
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