Finally, we present a fast data classification algorithm based on sampling.
最后，我们提出了一种基于抽样的快速数据分类算法。
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。
We present a novel segmentation randomized tree based classification algorithm in this paper.
本文提出一种基于区域分割的随机树分类算法。
The precision of classification rule is decided by the construction of classification algorithm.
分类规则的精度取决于分类算法的构造。
This paper presents an insurance business risk analysis method based on SPRINT classification algorithm.
提出利用SPRINT算法对保险业务数据进行风险分析。
Performance of packet classification algorithm is an important factor of delay and throughput of network.
包分类算法的性能对网络的时延和吞吐量有决定性的影响。
This paper introduces an improved classification algorithm of wavelet coefficients in image coding using EZW.
本文提出了图像EZW编码中一种新的分类算法。
It plays an instructional role in academic study and practical application of KNN text classification algorithm.
对KNN文本分类算法的理论研究和实际应用起了指导作用。
Produce an algorithm based on encoding binary tree and supporting vector multi-category classification algorithm.
给出了一种基于编码二叉树的支持向量的多类分类算法。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。
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 detection algorithm names D-ID3 that is based on danger theory and ID3 classification algorithm.
该文提出一种融合危险理论和ID 3分类算法的检测算法d -ID3。
Two important research directions of text classification are: feature selection method and text classification algorithm.
文本分类的两个重要的研究方向是：特征选择与文本分类算法。
After analysis of requirements of traffic flow monitoring, an efficient, accurate flow classification algorithm is proposed.
通过分析单链路监测的流量特征和业务流监测分析需求，提出了一种高效业务流分类算法。
The algorithm imports title weight coefficient to improve the term weighting in conjuction with a new classification algorithm.
引入标题权重系数改进词语权重，并提出了一种新的分类算法。
The parameters are preprocessed, and the tissue is classified using a classification algorithm and the preprocessed parameters.
参数被预处理，以及利用分类算法以及预处理后的参数对组织进行分类。
According to these two algorithms, this thesis proposed a new gene function classification algorithm based on gene function tree.
依据这两个准则，本文提出了一种改进的基于基因功能树的基因功能分类算法。
As one of the kernel techniques in the data mining, it is necessary to summarize the research status of classification algorithm.
对数据挖掘中的核心技术分类算法的内容及其研究现状进行综述。
A classification algorithm based on explanation could be put into the category of heuristic classification in knowledge engineering.
基于解释的分类算法可纳入知识工程中启发式分类的范畴。
Ensemble learning is a research hotspot in machine learning, which can improve generalization performance of classification algorithm.
集成学习是当前机器学习的一个研究热点，它可以提高分类算法的泛化性能。
This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
Aimed at the lack of the old classification algorithm, the paper presents a question fuzzy classification algorithm based on clustering of .
针对基于章节目录的分类方式过于依赖特定教材的不足，提出了基于关键词聚类的问题模糊分类方法。
Using this feature extraction and classification algorithm, this article classifies the practical acoustic signals from the truck, car and bus.
将上述特征提取及分类算法对实测的卡车、轿车和中巴车三种车型的噪声信号样本进行分类。
Meanwhile it describes the decision tree classification algorithm in detail, analyzes the ID3, C4.5 and other prevalent decision tree algorithm.
同时详细的阐述了决策树分类算法，并对比较流行的决策树算法id3、C4.5等算法进行详细分析与比较。
Compared to the well-known associative classification algorithm of CBA, the proposed approach has the advantage of fast speed and high accuracy.
与同类关联分类方法（如CBA）比较，本文提出的方法具有学习速度快、 分类准确度高的优点。
Experimental results indicate that this classification algorithm is very efficient in classifying targets and analyzing the scattering mechanism.
实验结果表明，该分类算法对于分类地物目标，进而分析其散射机理是十分有效的。
It is a necessary part of data mining of data pretreatment that cleaning and inducing data and providing object data for classification algorithm.
数据预处理是数据挖掘中不可或缺的一部分，是对数据进行初步地清理和归纳，为分类算法提供目标数据。
As a type of one-class classification algorithm, Support Vector Data Description (SVDD) was used to distinguish target objects from outlier objects.
支持向量域数据描述(SVDD)是一种单值分类算法，用于将目标样本与其他非目标样本区分开来。
So, a new sample-based classification algorithm, PSS, is proposed. AS, HS and VS algorithms which are parallel algorithms of PSS are presented also.
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。
This thesis improves tumor samples classification of gene expression data in two aspects: classification algorithm and feature gene selection method.
针对基于基因表达数据的肿瘤样本分类，本文从分类算法和特征基因选取方法两个方面进行了改进。
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