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Data Mining and Big Data : second International Conference, DMBD 2017, Fukuoka, Japan, July 27-August 1, 2017. Proceedings. DMBD (Conference) (2nd : 2017 : Fukuoka, Japan)最新文献

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Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Regional Economic Index Selection 基于聚类和熵法层次划分的决策树算法在区域经济指标选择中的应用
Yi Zhang, Gang Yang
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引用次数: 2
Adaptive and Dynamic Knowledge Transfer in Multi-task Learning with Attention Networks 基于注意网络的多任务学习中的自适应动态知识迁移
Tao Ma, Ying Tan
{"title":"Adaptive and Dynamic Knowledge Transfer in Multi-task Learning with Attention Networks","authors":"Tao Ma, Ying Tan","doi":"10.1007/978-981-15-7205-0_1","DOIUrl":"https://doi.org/10.1007/978-981-15-7205-0_1","url":null,"abstract":"","PeriodicalId":92347,"journal":{"name":"Data Mining and Big Data : second International Conference, DMBD 2017, Fukuoka, Japan, July 27-August 1, 2017. Proceedings. DMBD (Conference) (2nd : 2017 : Fukuoka, Japan)","volume":"16 1","pages":"1 - 13"},"PeriodicalIF":0.0,"publicationDate":"2020-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87656580","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: 3
An Evaluation Algorithm of the Importance of Network Node Based on Community Influence 基于社区影响的网络节点重要性评估算法
Gongzhen He, Junyong Luo, Meijuan Yin
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引用次数: 0
RPP Algorithm: A Method for Discovering Interesting Rare Itemsets RPP算法:一种发现有趣稀有物品集的方法
Sadeq Darrab, David Broneske, G. Saake
{"title":"RPP Algorithm: A Method for Discovering Interesting Rare Itemsets","authors":"Sadeq Darrab, David Broneske, G. Saake","doi":"10.1007/978-981-15-7205-0_2","DOIUrl":"https://doi.org/10.1007/978-981-15-7205-0_2","url":null,"abstract":"","PeriodicalId":92347,"journal":{"name":"Data Mining and Big Data : second International Conference, DMBD 2017, Fukuoka, Japan, July 27-August 1, 2017. Proceedings. DMBD (Conference) (2nd : 2017 : Fukuoka, Japan)","volume":"2 1","pages":"14 - 25"},"PeriodicalIF":0.0,"publicationDate":"2020-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72647654","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
Hypothesis Verification for Designing Flyback Booster by Analysis of Variance Visualized on Triangular Matrix Representations 基于三角矩阵表示方差分析的反激器设计假设验证
Kazuhisa Chiba, Taiki Hatta, Masahiro Kanazaki
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引用次数: 0
Data Mining and Big Data: 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings 数据挖掘与大数据:第五届国际会议,DMBD 2020,贝尔格莱德,塞尔维亚,2020年7月14-20日,论文集
Simone Diniz Junqueira Barbosa, Phoebe Chen, A. Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, K. Sivalingam, D. Ślęzak, T. Washio, Xiaokang Yang, Junsong Yuan, R. Prates, Ying Tan, Yuhui Shi, Milan Tuba Eds
{"title":"Data Mining and Big Data: 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings","authors":"Simone Diniz Junqueira Barbosa, Phoebe Chen, A. Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, K. Sivalingam, D. Ślęzak, T. Washio, Xiaokang Yang, Junsong Yuan, R. Prates, Ying Tan, Yuhui Shi, Milan Tuba Eds","doi":"10.1007/978-981-15-7205-0","DOIUrl":"https://doi.org/10.1007/978-981-15-7205-0","url":null,"abstract":"","PeriodicalId":92347,"journal":{"name":"Data Mining and Big Data : second International Conference, DMBD 2017, Fukuoka, Japan, July 27-August 1, 2017. Proceedings. DMBD (Conference) (2nd : 2017 : Fukuoka, Japan)","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91244454","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
Data Mining and Big Data: 4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings 数据挖掘与大数据:第四届国际会议,DMBD 2019,泰国清迈,2019年7月26-30日,论文集
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引用次数: 1
Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS 基于FAERS的数据挖掘上市后药品安全性评价
R. Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen
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引用次数: 4
Post-marketing Drug Safety Evaluation using Data Mining Based on FAERS. 基于FAERS的数据挖掘上市后药品安全性评价。
Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao, Yong Chen

Healthcare is going through a big data revolution. The amount of data generated by healthcare is expected to increase significantly in the coming years. Therefore, efficient and effective data processing methods are required to transform data into information. In addition, applying statistical analysis can transform the information into useful knowledge. We developed a data mining method that can uncover new knowledge in this enormous field for clinical decision making while generating scientific methods and hypotheses. The proposed pipeline can be generally applied to a variety of data mining tasks in medical informatics. For this study, we applied the proposed pipeline for post-marketing surveillance on drug safety using FAERS, the data warehouse created by FDA. We used 14 kinds of neurology drugs to illustrate our methods. Our result indicated that this approach can successfully reveal insight for further drug safety evaluation.

医疗保健正在经历一场大数据革命。预计在未来几年,医疗保健产生的数据量将显著增加。因此,需要高效有效的数据处理方法将数据转化为信息。此外,应用统计分析可以将信息转化为有用的知识。我们开发了一种数据挖掘方法,可以在产生科学方法和假设的同时,在这个巨大的临床决策领域发现新的知识。该管道可广泛应用于医学信息学中的各种数据挖掘任务。在本研究中,我们使用FAERS (FDA创建的数据仓库)应用拟议的药物上市后安全性监测管道。我们用14种神经学药物来说明我们的方法。我们的结果表明,该方法可以成功地为进一步的药物安全性评价提供见解。
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引用次数: 0
Free Carrier Absorption in n-Type Indium Selenide n型硒化铟的自由载流子吸收
B. Mari, A. Segura, A. Chevy
{"title":"Free Carrier Absorption in n-Type Indium Selenide","authors":"B. Mari, A. Segura, A. Chevy","doi":"10.1515/9783112495285-044","DOIUrl":"https://doi.org/10.1515/9783112495285-044","url":null,"abstract":"","PeriodicalId":92347,"journal":{"name":"Data Mining and Big Data : second International Conference, DMBD 2017, Fukuoka, Japan, July 27-August 1, 2017. Proceedings. DMBD (Conference) (2nd : 2017 : Fukuoka, Japan)","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1985-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89961187","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: 0
期刊
Data Mining and Big Data : second International Conference, DMBD 2017, Fukuoka, Japan, July 27-August 1, 2017. Proceedings. DMBD (Conference) (2nd : 2017 : Fukuoka, Japan)
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