Then an effective sequential data classifier is constructed using average CSR matching confidence and a rule-matching algorithm.
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。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
In fact, a classifier is a more general concept, which includes data types and interfaces.
事实上，分类器是一个更为一般的概念，它包括数据类型和接口。
Figure 2 is simply pointing out the concept of Class, which is a highly specialized element that is related to interface and data type (through its inheritance from Classifier).
图2简单地指出了Class的概念，这是一种和接口以及数据类型有关(通过从Classifier继承)的高度专业化的元素。
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.
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。
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。
With the growth of data in volume and dimensionality, it has become a very challenging problem to build a high-efficient classifier for large databases.
随着数据集的数据量和维数的增加，建立高效的、适用于大型数据集的分类法已成为数据挖掘的一个挑战性问题。
Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。
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.
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。
In these research areas, sample classification based on gene expression data is acting a very important role, it generally has two pivotal steps: gene selection and Classifier design.
在这个研究领域里，基于基因表达数据的样本分类扮演着很重要的角色，它一般具有两个关键步骤：基因选择和分类模型设计。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
This paper USES the improved K-means (IKM) algorithm to process the missing data and thus improve the precision of the Naive Bayes classifier.
本文利用改进的K -均值算法对缺失数据进行处理，提高了朴素贝叶斯分类的精确度。
Aiming at the deficiency of evaluating classifier combination methods with standard data sets, a new classifier simulation algorithm was proposed.
针对标准数据集在评估多分类器系统的组合方法时存在的不足，设计了一种新的分类器模拟算法。
In order to improve the performance of the minority class, a combined classifier algorithm is presented based on data pre - processing.
为提高少数类的分类性能，对基于数据预处理的组合分类器算法进行了研究。
In processing the software data, the theory of partial repeatability offers a criteria for evaluating different classifier by building "center function", "fluctuation zone" and "correctness factor".
在对复杂数据的处理过程中，“部分重复性”理论通过建立“中心函数”、“浮动域”和“正确度”指标，提供了一种分类优劣的评价标准。
The reasoning process of evaluating university talented scholars system is presented, and introduce the application of TAN classifier in data mining.
用某高校人才识别系统这一实例来说明TAN分类器的推理过程，并介绍了TAN分类器在数据挖掘领域的应用。
Classification rules discovery is a procedure to construct a classifier through studying the training dataset. It is a very important part of data Mining and Knowledge discovery.
分类规则发现则是通过对训练样本数据集的学习构造分类规则的过程，是数据挖掘、知识发现的一个重要方面。
In practice applications, generic near neighbor classifier was limited for the amount of pattern processing was very large and was difficult to get the best data quickly on line.
在实际应用中，一般的近邻分类器由于模式处理量过大，且难以在线和快速获得最佳近邻数等原因，而受到了限制。
The authors roughly segment the queries according to their Web context and use the Web data to train a complex named-entities classifier.
根据用户的查询在网络中的上下文数据，将查询进行粗切分，并利用该网络数据作为训练语料训练复杂专名分类器。
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data.
在统计建模中，有很多分类器构建算法，每个算法构造一组不同的关于数据的假设集合。
Among, the classifier is designed by the nearest neighbor algorithm and trained based on the pulmonary nodules in LIDC as the sample data.
采用最近邻法设计分类器，并以LIDC库中的结节数据作为样本集，使用留一法进行分类器训练。
This fuzzy system design method that uses a fuzzy rule to represent a cluster is then propsed so that a fuzzy classifier can be efficiently constructed to correctly classify the training data.
用这样一个模糊规则来表示分类的模糊系统，更加有效地构建了一个能对训练样本比较准确分类的模糊分类器。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
It is tested on the UCI standard data sets and compared with AIRS and the other classical classifiers. The aim is to research the performance of classifier based on artificial immune network.
在UCI标准数据集合上进行测试，与airs和其他传统分类器进行比较，目的是研究基于人工免疫网络原理的数据分类方法的性能。
With the data of characteristic singular values of sub-images, the Local Singular Value Vector of the whole image are combined, and are used as the input of the classifier.
子图像的特征奇异值组成整个图像的局部奇异值向量，作为分类器的输入。
At the same time, testing the order by K-nearest neighbor classifier which is also comes from data mining and the result proves the correctness and feasibility of this method.
同时，运用数据挖掘中的K -最临近分类方法对所得出的强弱顺序进行测试，结果表明了这种区分方法的正确性、可行性。
Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing for extracting signal features.
应用结果表明，不必进行信号预处理以提取特征量，只需要用少量的时域故障数据样本建立故障分类器。
Let the nature data structures as inputting for the classifier of the face classification.
最后将降维后的数据作为分类器的输入进行人脸分类识别。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
方法利用决策树算法对乳腺癌图像数据进行分类，提出了一个基于决策树算法的医学图像分类器。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
方法利用决策树算法对乳腺癌图像数据进行分类，提出了一个基于决策树算法的医学图像分类器。
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