提出了一种用户指导的关系数据分类算法。
In this paper, a classification algorithm for relational data with user's guidance was proposed.
最后，我们提出了一种基于抽样的快速数据分类算法。
Finally, we present a fast data classification algorithm based on sampling.
现有的数据分类算法大体可以划分为两大类：积极学习方法与消极学习方法。
Existing data classification algorithms may be mainly divided into two kinds: Active learning methods and lazy learning methods.
提出了一种基于多流形的数据分类算法，算法大致分为两步：学习过程和测试过程。
A data classification algorithm on multiple manifolds is presented. The algorithm roughly divides into two steps: learning process and testing process.
因此提出一种新的基于抽样的数据分类算法PSS，并提出三种PSS并行化算法AS，HS和VS算法。
So, a new sample-based classification algorithm, PSS, is proposed. AS, HS and VS algorithms which are parallel algorithms of PSS are presented also.
实验结果表明，PSS算法及其并行化算法是一种高效的数据分类算法，尤其适用于解决海量数据库中的数据分类问题。
The test results show that the PSS algorithm as well as its parallel algorithms are high efficient when they are used in classification of massive database.
该算法有效的提高了分类精确度，并且能够直接支持关系数据库，运行时间远远小于基于ILP技术的关系数据分类算法。
This algorithm improved accuracy rate, support relational databases directly. Its running time is much lower than ILP based relational classification methods.
本文讨论了两种数据挖掘算法：分类树和群集。
This article discussed two data mining algorithms: the classification tree and clustering.
同样，对于机器学习算法，一个通常的问题是过适合(原文为over -fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
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。
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.
一旦实现了对行的分类，连接两个表的算法就十分容易：数据库服务器仅仅连续地读取两个已分类表，并合并所有相匹配的行。
Once the rows are sorted, the algorithm for joining the two tables is easy: the database server simply reads both sorted tables sequentially and merge all rows if they are matching.
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。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
文章讨论了虚拟建筑数据的基本特征，对现有的虚拟建筑实时漫游算法进行分类。
This article discusses the feature of the data of Virtual Architecture, and classifies the ever-known algorithms.
UCI数据库上的实验结果表明，与传统方法相比该算法能够在更短的时间内得到分类精度更高的规则。
Experiments on UCI data sets show that compared with traditional methods our algorithm can get more accurate rules in a shorter time.
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。
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.
提出平行坐标数据可视化技术与分类算法集成到一起进行可视化数据分类的方法。
A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.
该算法明确地使用某种概率性方法来确定某个数据点存在于某个分类中的概率。
Specifically, the algorithm USES a probabilistic method to determine the probability that a data point exists in a cluster.
将其作为分类器的输入特征量，提出了一种基于极化合成的目标分类算法，并对实测极化SAR数据进行了分类实验。
Algorithm of target classification based on polarization synthesis is proposed, when it is acted as input value of classifier. Then, polarimetric SAR data is applied to classification experiment.
为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。
In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
实验数据分析证明了该算法在进行半监督分类时具有比较好的效果。
The analysis of experimental data has proven that this algorithm has better effect on semi-supervised classification.
从数据挖掘的观点来看，它们都与分类算法密切相关。
Those are tightly associated with classification algorithm on the view of data mining.
为了验证分析的正确性，本文尝试了几种类型的分类算法对银行全成本数据进行训练。
To verify the correctness of our method, this paper compares the performances of different classification algorithms on the data of bank cost analysis.
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。
There are some various algorithms in data mining, and decision tree classification algorithm is the most popular one.
新的目标准则函数考虑了数据集样本的模糊隶属关系和样本几何分布两个方面的因素，使算法的鲁棒性和分类的正确性大大加强。
Two factors are considered in cluster-validity criterion to enhance the robustness of algorithm and the validity of clustering, one is fuzzy membership and the other is geometric property.
再利用平均CSR匹配置信度和一个规则匹配算法构建有效的序列数据分类器。
Then an effective sequential data classifier is constructed using average CSR matching confidence and a rule-matching algorithm.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
本文研究基于SLIQ的数据挖掘分类算法。
This paper studies data mining classification calculation of SLIQ.
数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.
面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。
Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.
面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。
Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.
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