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A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions 一种基于单特征和多特征聚合函数的多关系分类方法
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_43
Richard Frank, Flavia Moser, M. Ester
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引用次数: 37
Bridged Refinement for Transfer Learning 迁移学习的桥式改进
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_31
Dikan Xing, Wenyuan Dai, Gui-Rong Xue, Yong Yu
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引用次数: 79
Site-Independent Template-Block Detection 站点独立模板块检测
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_17
A. Kolcz, Wen-tau Yih
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引用次数: 11
Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned Data 在分区数据上提供Naïve基于贝叶斯分类器的私有推荐
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_53
C. Kaleli, H. Polat
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引用次数: 25
Finding Transport Proteins in a General Protein Database 在通用蛋白质数据库中寻找转运蛋白
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_9
Sanmay Das, M. Saier, C. Elkan
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引用次数: 18
Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket Databases 测试市场篮数据库关联规则挖掘算法的真实合成数据
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_39
C. Cooper, M. Zito
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引用次数: 29
Classification of Anti-learnable Biological and Synthetic Data 不可学习生物和合成数据的分类
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_19
A. Kowalczyk
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引用次数: 21
Visual Exploration of Genomic Data 基因组数据的视觉探索
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_65
M. Vlachos, B. Taneri, Eamonn J. Keogh, Philip S. Yu
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引用次数: 5
Improved Algorithms for Univariate Discretization of Continuous Features 连续特征单变量离散化的改进算法
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-17 DOI: 10.1007/978-3-540-74976-9_20
J. Kujala, Tapio Elomaa
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引用次数: 12
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering 通过互信息关联过滤加速特征子集选择
European Conference on Principles of Data Mining and Knowledge Discovery Pub Date : 2007-09-01 DOI: 10.1007/978-3-540-74976-9_27
G. V. Dijck, M. Hulle
{"title":"Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering","authors":"G. V. Dijck, M. Hulle","doi":"10.1007/978-3-540-74976-9_27","DOIUrl":"https://doi.org/10.1007/978-3-540-74976-9_27","url":null,"abstract":"","PeriodicalId":325553,"journal":{"name":"European Conference on Principles of Data Mining and Knowledge Discovery","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130169736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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