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Advances in data mining. Industrial Conference on Data Mining最新文献

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FUZZY SETS AND FUZZY LOGIC 模糊集与模糊逻辑
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-12-21 DOI: 10.1081/E-ECST2-120054026
A. Syropoulos
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引用次数: 1
Multiple Health Phases Based Remaining Useful Lifetime Prediction on Bearings 基于多健康阶段的轴承剩余使用寿命预测
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_9
Junjie Chen, Xiaofeng Wang, Wenjing Zhou, Lei Zhang, Fei Liu
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引用次数: 1
Early Predictive System for Diabetes Mellitus Disease 糖尿病疾病早期预测系统
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_31
Karim M. Orabi, Yasser M. Kamal, T. Rabah
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引用次数: 52
DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques 基于数据挖掘技术的云计算DDoS攻击检测
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_15
K. Borisenko, A. Smirnov, E. Novikova, A. Shorov
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引用次数: 13
A Matching Approach Based on Term Clusters for eRecruitment 一种基于词簇的招聘匹配方法
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_29
Gulsen Bal, A. Karakas, Tunga Güngör, Fatmagül Süzen, K. C. Kara
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引用次数: 2
PHM: Mining Periodic High-Utility Itemsets PHM:挖掘周期高效用项集
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_6
Philippe Fournier-Viger, Chun-Wei Lin, Quang-huy Duong, Thu-Lan Dam
{"title":"PHM: Mining Periodic High-Utility Itemsets","authors":"Philippe Fournier-Viger, Chun-Wei Lin, Quang-huy Duong, Thu-Lan Dam","doi":"10.1007/978-3-319-41561-1_6","DOIUrl":"https://doi.org/10.1007/978-3-319-41561-1_6","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"94 1","pages":"64-79"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80663683","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: 66
Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms 通过白盒分类算法理解葡萄酒评判及一致性评价
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_18
Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che
{"title":"Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms","authors":"Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che","doi":"10.1007/978-3-319-41561-1_18","DOIUrl":"https://doi.org/10.1007/978-3-319-41561-1_18","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"24 1","pages":"239-252"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83378303","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: 9
Splitting Algorithm for Detecting Structural Changes in Predictive Relationships 预测关系结构变化检测的分割算法
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_30
O. Gorskikh
{"title":"Splitting Algorithm for Detecting Structural Changes in Predictive Relationships","authors":"O. Gorskikh","doi":"10.1007/978-3-319-41561-1_30","DOIUrl":"https://doi.org/10.1007/978-3-319-41561-1_30","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"13 1","pages":"405-419"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76167823","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: 1
Comparative Analysis of Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithms in Photovoltaic Power Estimation Using Artificial Neural Network Levenberg-Marquardt与Bayesian正则化反向传播算法在人工神经网络光伏功率估计中的比较分析
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_7
K. Jazayeri, Moein Jazayeri, S. Uysal
{"title":"Comparative Analysis of Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithms in Photovoltaic Power Estimation Using Artificial Neural Network","authors":"K. Jazayeri, Moein Jazayeri, S. Uysal","doi":"10.1007/978-3-319-41561-1_7","DOIUrl":"https://doi.org/10.1007/978-3-319-41561-1_7","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"3 1","pages":"80-95"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88706120","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: 24
Data Mining in Medicine: Relationship of Scoliotic Spine Curvature to the Movement Sequence of Lateral Bending Positions 医学数据挖掘:脊柱侧弯曲率与侧弯位置运动序列的关系
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2016-07-18 DOI: 10.1007/978-3-319-41561-1_3
A. Jalalian, F. Tay, Gabriel Liu
{"title":"Data Mining in Medicine: Relationship of Scoliotic Spine Curvature to the Movement Sequence of Lateral Bending Positions","authors":"A. Jalalian, F. Tay, Gabriel Liu","doi":"10.1007/978-3-319-41561-1_3","DOIUrl":"https://doi.org/10.1007/978-3-319-41561-1_3","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"2009 1","pages":"29-40"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86255546","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: 9
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