1)semantic clustering语义聚类
1.Deep Web complex matching method based on association mining and semantic clustering基于关联挖掘和语义聚类的Deep Web复杂匹配方法
2.The results indicate that:(1) thematic clustering is more effective than semantic clustering,(2) providing context and p.本研究通过教学实验,考察主题聚类和语义聚类两类共三种词汇呈现方式对三组共90名中等水平的英语学习者学习英语新词的影响。
3.Therefore,the author proposed a semantic clustering-based attack detection model on CF-based recommender systems,which mined the potential interest combination by analyzing the semantics of items in the transaction database.提出了一个基于语义聚类的协作过滤攻击检测模型,从分析项目的语义入手,针对攻击数据中的随机性,通过分析用户兴趣的组合来评判用户偏好数据的真实与否。
英文短句/例句
1.Deep Web complex matching method based on association mining and semantic clustering基于关联挖掘和语义聚类的Deep Web复杂匹配方法
2.Semantic clustering-based attack detection model on CF-based recommender systems基于语义聚类的协作推荐攻击检测模型
3.Research on Extraction and Clustering of Term Definition and Term Extraction;术语定义抽取、聚类与术语识别研究
4.An Approach to Customers Classification in View of Clustering Algorithm Analysis Based on Two-tuple Linguistic Information Processing;基于二元语义的客户群聚类分析方法
5.Research of Text Clustering Based on Semanteme and Domain Correlation基于语义和领域相关的文本聚类研究
6.Web document clustering algorithm based on semantic similarity基于语义相似度的Web文档聚类算法
7.Semantic Annotations of Image Based on Mutual Information and Constrained Clustering基于互信息约束聚类的图像语义标注
8.Research on Text Clustering Algorithm Based on Latent Semantic Indexing;基于潜在语义索引的文本聚类算法研究
9.Research on Text Clustering Based on Semantic Similarity;基于语义相似度的文本聚类算法的研究
10.Researching the Application of Latent Semantic Index to Chinese Document Clustering;潜在语义索引在中文文本聚类中的应用研究
11.Research and Development of Document Clustering Based on Semantic Feature;基于语义特征的文本聚类的研究与实现
12.Research on Thesis Text Clustering Based on Semantic Similarity基于语义相似度的论文文本聚类算法研究
13.Research on Document Clustering Technology Based on Latent Semantic Indexing基于潜在语义索引的文本聚类技术研究
14.High Quality Algorithm for Chinese Short Messages Text Clustering Based on Semantic基于语义的高质量中文短信文本聚类算法
15.An Algorithm for Search Result Clustering Based on Semantic Relevance Between Words基于词间语义相关度的搜索结果聚类算法
16.Research on Nominal Data Clustering/Classification Algorithms with Their Applications in Anomaly Detection语义属性数据聚类/分类算法及其在异常检测中的应用研究
17.The Study of the Semantics Withdraw of the Compound Words from the Modern Chinese Corpus and the Interlanguage Corpus and Self-Organization Clustering Analysis;基于现代汉语和中介语语料的复合词语义提取和自组织聚类分析研究
18.The Researches on the 3D Model Retrieval Techniques Based on Clustering Analysis and Based on Semantic;三维模型检索中基于聚类与基于语义方法的研究
相关短句/例句
Collection of semantic语义的类聚性
3)Domain Clustering of Term Definition术语定义的领域聚类
4)assemblage of different shades of meaning of a word词义类聚
5)sense clustering意义聚类
6)semantic class语义类
1.This paper presents a method of using soft pattern to discover semantic classes.为解决基于模式的方法发现语义类时召回率和精确率低的问题,提出了一种基于软模式的语义类发现方法,该方法首先利用bootsrapping方法获得传统的模式,即硬模式,然后再扩展生成软模式,最后通过计算待测模式的分值实现软模式的模糊匹配,从而完成语义类的发现。
延伸阅读
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