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Classification algorithms and clustering algorithms that contain predictable nested tables. 包含可预测嵌套表的分类算法和聚类分析算法。
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。
Classification algorithms include the Microsoft Decision Trees, Microsoft Naive Bayes, and Microsoft Neural Network algorithms. 分类算法包括Microsoft决策树、Microsoft Naive Bayes和Microsoft神经网络算法。
Thispaper first studies the text classification algorithms, discusses how to extract featureterms, and implements a new feature extraction algorithm. 本文首先对文本分类算法进行了研究,探讨了文本特征抽取方法,其中综合考虑了频度、分散度和集中度三项指标,设计并实现了一种新的特征抽取算法,使得选出的特征项整体优化。
Based on above reasons, we propose a Chinese Webpages classification algorithm based on Projection Pursuit. 基于上述原因，我们提出了基于投影寻踪的中文网页分类算法。
This talk introduces a new HOLTER system based on intelligent module classification algorithm. 该报告主要介绍一种基于智能模板分类算法的新型HOLTER系统。
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 Microsoft Naive Bayes algorithm is a classification algorithm that is quick to build and that works well for predictive modeling. Microsoft Naive Bayes算法是一种可快速构建并适合进行预测性建模的分类算法。
Therefore,it is a puzzle to study the classification model,increase the class number and improve the detection ratio according to the classic classification algorithms. 因此，不管是分类模型的建立，还是分类类别数目的扩展和分类率的提高，难度都相当大。
A rotation invariant texture classification algorithm based on log-polar and Dual-Tree Complex Wavelet Transform(DT-CWT) is proposed. 提出了一种基于对数-极坐标变换(Log-Polar)和双树复数小波变换(DT-CWT)的旋转不变纹理分类算法。
A texture classification algorithm based on Dual-tree Complex Wavelet Transform (DT-CWT) and Support Vector Machines (SVM) is proposed. 提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法。
This paper puts forward the classification algorithm TFIDFICF by introducing the factor of class frequency into the algorithm TFIDF. 在TFIDF算法中引入类频率因子，给出TFIDFICF分类算法，实验证明类别信息的加入可以有效地改善分类性能，提高分类精度。
The development of router architecture is analyzed, and the fast route lookup and packet classification algorithms for high speed router are researched. 分析了路由器的体系结构发展,研究了路由查找算法和流分类算法在快速路由器中的应用。
Theoretical analysis and practical signal processing justify the robusticity and the efficiency of the new classification algorithm. 理论分析和实测信号处理证明了本文提出的算法的可行性。
A rotation invariant texture classification algorithm based on log-polar and dual-tree complex wavelet transform (DT-CWT) is proposed. 摘要提出了一种基于对数-极坐标变换和双树复数小波变换的旋转不变纹理分类算法。
The present paper proposes a classification algorithm based on association rule, this algorithm can classify the dataset quickly and is not restricted by the limit of dataset. 摘要提出一种基于关联规则的分类算法。这个算法既可以快速分类，又可以不受数据集规模的限制。
In the second step, a step-by-step support vector machine (SVM) classification algorithm was applied to reduce gene dimensionality of the subset of DEGs. 第二步，采用支持向量机(SVM)分类器对该差异表达基因子集进行进一步的分类降维。
Therefore, this thesis goes deep into the research of IP routing lookup and packet classification algorithms, and proposes four high speed algorithms for different applications and requirements. 本文首先对现有的典型IP路由查找和报文分类算法进行了综述和分类比较，根据它们的空间几何意义提出了IP路由查找与报文分类模型MDCM，并进一步提出了一些重要的结论、方法和原则以指导算法的设计。
On the other hand, the thesis explores and presents some research results in knowledge representation of a web page, similarity measure, data mining and utilization of large-scale data, and retrieval and classification algorithms. 另一方面希望通过对这些问题的研究,在网上信息的知识表示、相似度度量、大规模数据采掘、海量信息的有效利用、检索与分类的算法等方面做一些有意义的探索。
Furthermore,using AUC to re-evaluate three classification algorithms shows classification algorithm NaiveBayes and TAN-CMI based on Bayes theorem are better than decision tree classification algorithm C4.5 in performance. 同时;用AUC对3种分类学习算法的重新评估;进一步证实了基于贝叶斯定理的NaiveBayes和TAN-CMI分类算法优于决策树分类算法C4.;5。