Mining spatiotemporal co-occurrence patterns in solar datasets

Author:

Aydin B.ORCID,Kempton D.,Akkineni V.,Angryk R.,Pillai K.G.

Funder

NASA

NSF

Publisher

Elsevier BV

Subject

Computer Science Applications,Astronomy and Astrophysics,Space and Planetary Science

Reference25 articles.

1. Agrawal, R., Srikant, R., 1994. Fast algorithms for mining association rules in large databases. In: VLDB’94, Proceedings of the 20th International Conference on Very Large Data Bases, September 12–15, 1994, Santiago de Chile, Chile, pp. 487–499.

2. Designing visual analytics methods for massive collections of movement data;Andrienko;Cartographica,2007

3. ERMO-DG: Evolving region moving object dataset generator;Aydin,2014

4. Aydin, B., Kempton, D., Akkineni, V., Gopavaram, S.R., Pillai, K.G., Angryk, R.A., 2014b. Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns. In: 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27–30, 2014, pp. 1–10 doi:10.1109/bigdata.2014.7004398.

5. Mobility profiler: A framework for discovering mobility profiles of cell phone users;Bayir;Pervasive Mobile Comput.,2010

Cited by 10 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

同舟云学术

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