Vertical Data Mining from Relational Data and Its Application to COVID-19 Data
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-8731-3_8
Reference33 articles.
1. Chen, Z., Wang, Y., Narasayya, V.R., Chaudhuri, S.: Customizable and scalable fuzzy join for big data. PVLDB 12(12), 2106–2117 (2019). https://doi.org/10.14778/3352063.3352128
2. Lee, W., Leung, C.K. (eds.): Big Data Applications and Services 2017. AISC, vol. 770. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-0695-2
3. Leung, C.K.: Big data analysis and mining. In: Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics, pp. 15–27 (2019). https://doi.org/10.4018/978-1-5225-7598-6.ch002
4. Schäfer, N., Michel, S.: JODA: a vertically scalable, lightweight JSON processor for big data transformations. In: IEEE ICDE 2020, pp. 1726–1729 (2020). https://doi.org/10.1109/ICDE48307.2020.00155
5. Siddiqui, T., Jindal, A., Qiao, S., Patel, H., Le, W.: Cost models for big data query processing: learning, retrofitting, and our findings. In: ACM SIGMOD 2020, pp. 99–113 (2020). https://doi.org/10.1145/3318464.3380584
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Q-Eclat: Vertical Mining of Interesting Quantitative Patterns;International Database Engineered Applications Symposium;2022-08-22
2. Mining Popular Topics from the Media;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06
3. Predictive Analytics for Supporting Environmental Sustainability and Disaster Management;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06
4. A Data Science Solution for Mining Weather Data and Transportation Data for Smart Cities;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06
5. The Emerging Challenges of Big Data Lakes, and a Real-Life Framework for Representing, Managing and Supporting Machine Learning on Big Arctic Data;Advances in Intelligent Networking and Collaborative Systems;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3