Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)最新文献

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Modelling Temporal Dynamics and Repeated Behaviors for Recommendation 建模时间动态和重复行为的推荐
Xin Zhou, Zhu Sun, G. Guo, Yuan Liu
{"title":"Modelling Temporal Dynamics and Repeated Behaviors for Recommendation","authors":"Xin Zhou, Zhu Sun, G. Guo, Yuan Liu","doi":"10.1007/978-3-030-47426-3_15","DOIUrl":"https://doi.org/10.1007/978-3-030-47426-3_15","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"3 1","pages":"181 - 193"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88650409","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: 2
Fashion Recommendation with Multi-relational Representation Learning 基于多关系表示学习的时尚推荐
Y. Li, Yadan Luo, Zi Huang
{"title":"Fashion Recommendation with Multi-relational Representation Learning","authors":"Y. Li, Yadan Luo, Zi Huang","doi":"10.1007/978-3-030-47426-3_1","DOIUrl":"https://doi.org/10.1007/978-3-030-47426-3_1","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"10 1","pages":"3 - 15"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87733073","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: 5
Retrofitting Embeddings for Unsupervised User Identity Linkage 无监督用户身份链接的改进嵌入
Tao Zhou, Ee-Peng Lim, R. Lee, Feida Zhu, Jiuxin Cao
{"title":"Retrofitting Embeddings for Unsupervised User Identity Linkage","authors":"Tao Zhou, Ee-Peng Lim, R. Lee, Feida Zhu, Jiuxin Cao","doi":"10.1007/978-3-030-47426-3_30","DOIUrl":"https://doi.org/10.1007/978-3-030-47426-3_30","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"22 1","pages":"385 - 397"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90963017","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: 2
MSGE: A Multi-step Gated Model for Knowledge Graph Completion 知识图谱补全的多步骤门控模型
Chunyang Tan, Kaijia Yang, Xinyu Dai, Shujian Huang, Jiajun Chen
{"title":"MSGE: A Multi-step Gated Model for Knowledge Graph Completion","authors":"Chunyang Tan, Kaijia Yang, Xinyu Dai, Shujian Huang, Jiajun Chen","doi":"10.1007/978-3-030-47426-3_33","DOIUrl":"https://doi.org/10.1007/978-3-030-47426-3_33","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"278 1","pages":"424 - 435"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80073679","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
Mining Locally Trending High Utility Itemsets 挖掘本地趋势高实用项目集
Philippe Fournier-Viger, Yanjun Yang, Jerry Chun‐wei Lin, J. Frnda
{"title":"Mining Locally Trending High Utility Itemsets","authors":"Philippe Fournier-Viger, Yanjun Yang, Jerry Chun‐wei Lin, J. Frnda","doi":"10.1007/978-3-030-47436-2_8","DOIUrl":"https://doi.org/10.1007/978-3-030-47436-2_8","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"36 1","pages":"99 - 111"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85474917","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: 4
Optimal Subgroup Discovery in Purely Numerical Data 纯数值数据中的最优子群发现
Alexandre Millot, Rémy Cazabet, Jean-François Boulicaut
{"title":"Optimal Subgroup Discovery in Purely Numerical Data","authors":"Alexandre Millot, Rémy Cazabet, Jean-François Boulicaut","doi":"10.1007/978-3-030-47436-2_9","DOIUrl":"https://doi.org/10.1007/978-3-030-47436-2_9","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"18 1","pages":"112 - 124"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83342682","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: 8
On the Performance of Oversampling Techniques for Class Imbalance Problems 类不平衡问题的过采样性能研究
Jiawen Kong, Thiago Rios, W. Kowalczyk, S. Menzel, Thomas Bäck
{"title":"On the Performance of Oversampling Techniques for Class Imbalance Problems","authors":"Jiawen Kong, Thiago Rios, W. Kowalczyk, S. Menzel, Thomas Bäck","doi":"10.1007/978-3-030-47436-2_7","DOIUrl":"https://doi.org/10.1007/978-3-030-47436-2_7","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"99 1","pages":"84 - 96"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83415007","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: 6
L0-norm Constrained Autoencoders for Unsupervised Outlier Detection 无监督离群点检测的0范数约束自编码器
Yoshinao Ishii, Satoshi Koide, K. Hayakawa
{"title":"L0-norm Constrained Autoencoders for Unsupervised Outlier Detection","authors":"Yoshinao Ishii, Satoshi Koide, K. Hayakawa","doi":"10.1007/978-3-030-47436-2_51","DOIUrl":"https://doi.org/10.1007/978-3-030-47436-2_51","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"133 1","pages":"674 - 687"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73741400","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: 4
Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer 基于注意力的知识图信息传递聚合图网络
Ming Zhao, W. Jia, Yusheng Huang
{"title":"Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer","authors":"Ming Zhao, W. Jia, Yusheng Huang","doi":"10.1007/978-3-030-47436-2_41","DOIUrl":"https://doi.org/10.1007/978-3-030-47436-2_41","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"24 1","pages":"542 - 554"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81135524","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: 13
Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing 众包中向量回归任务的可靠聚合方法
Joonyoung Kim, Donghyeon Lee, Kyomin Jung
{"title":"Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing","authors":"Joonyoung Kim, Donghyeon Lee, Kyomin Jung","doi":"10.1007/978-3-030-47436-2_20","DOIUrl":"https://doi.org/10.1007/978-3-030-47436-2_20","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"18 1","pages":"261 - 273"},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81805694","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: 2
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