ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era

被引:0
|
作者
Shi, Lei [1 ]
Tong, Hanghang [2 ]
Wang, Chaoli [3 ]
Akoglu, Leman [4 ]
机构
[1] Chinese Acad Sci, Beijing 100864, Peoples R China
[2] Arizona State Univ, Tempe, AZ 85287 USA
[3] Univ Notre Dame, Notre Dame, IN 46556 USA
[4] SUNY Stony Brook, Stony Brook, NY USA
来源
CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT | 2016年
关键词
Visual Analytics; Data Mining; Big Data;
D O I
10.1145/2983323.2988539
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The world is awash with big data now - we are generating ten exabytes of data in a variety of different forms every day. In this wave, there is a trend to integrate the data mining methods with interactive visualizations to advance the so called visual analytics (VA) technology. The VA technique enjoys the joint advantage of the human intelligence and the machinears computational power. Various aspects of the data mining method need to be inspected, justified, organized and evaluated for a successful VA system. The challenges include but not limited to the data reduction, integration, governance and knowledge representation. Exploring all these directions for joining the data analysis with visualization and finally delivering values to users is a problem of vital importance and requires a lot of efforts from different parties where information management researchers from both data mining and visualization play major roles. This makes the workshop highly relevant to CIKM, the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management.
引用
收藏
页码:2509 / 2509
页数:1
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