Proceedings of the 2nd International Workshop on Network Data Analytics

Akhil Arora, Shourya Roy, A. Bhattacharya
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引用次数: 0

Abstract

We are delighted to present the papers from the 2nd NDA Workshop on Network Data Analytics, which took place on 19th May, 2017 co-located with the ACM SIGMOD conference in Chicago, Illinois, USA. Networks are prevalent in today's electronic world in a wide variety of domains ranging from engineering to social sciences, life sciences, physical sciences, and so on. Researchers and practitioners have studied networks in multiple ways like defining network metrics, providing theoretical results and examining problems like pattern mining, link prediction, etc. The NDA workshop is a forum for exchanging ideas and methods for mining, querying and learning with real-world networks, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The purpose of this workshop is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances in (large-scale) graph analysis, as well as propose and discuss novel methods and techniques towards addressing domain specific challenges and handling noise in real-world graphs.
第二届网络数据分析国际研讨会论文集
我们很高兴地介绍第二届NDA网络数据分析研讨会的论文,该研讨会于2017年5月19日与ACM SIGMOD会议在美国伊利诺伊州芝加哥市举行。在当今的电子世界中,网络在从工程到社会科学、生命科学、物理科学等各个领域都很普遍。研究人员和实践者以多种方式研究网络,如定义网络指标、提供理论结果和检查模式挖掘、链接预测等问题。NDA研讨会是一个交流思想和方法的论坛,用于与现实世界的网络进行挖掘、查询和学习,发展对手头问题的新共识,在适用的情况下共享数据集,并利用来自不同学科的现有知识。本次研讨会的目的是将来自学术界、工业界和政府的研究人员聚集在一起,创建一个论坛,讨论(大规模)图分析的最新进展,以及提出和讨论解决领域特定挑战和处理现实世界图中的噪声的新方法和技术。
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