Visual Graph Querying

Understanding and predicting extreme turning points in the financial market, such as financial bubbles and crashes, has attracted much attention in recent years. Experimental observations of the superexponential increase of prices before crashes indicate the predictability of financial extremes. In this study, we aim to forecast extreme events in the stock market using 19-year time-series data (January 2000–December 2018) of the financial market, covering 12 kinds of worldwide stock indices. In addition, we propose an extremes indicator through the network, which is constructed from the price time series using a weighted visual graph algorithm. Experimental results on 12 stock indices show that the proposed indicators can predict financial extremes very well.

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Examining the Role Visual Graph Structures Play in Collective Awareness and Cooperative Decisions

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 ◽

10.1145/3170427.3180303 ◽

2018 ◽

Author(s):

Marlen Promann

Keyword(s):

Graph Structures ◽

Visual Graph

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The KGRAM Abstract Machine for Knowledge Graph Querying

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology ◽

10.1109/wi-iat.2010.144 ◽

2010 ◽

Cited By ~ 21

Author(s):

Olivier Corby ◽

Catherine Faron Zucker

Keyword(s):

Knowledge Graph ◽

Abstract Machine ◽

Graph Querying

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Study on the Visual Prediction and Analysis Method of Mining Subsidence

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.402.724 ◽

2011 ◽

Vol 402 ◽

pp. 724-727

Author(s):

Jing Wei Wang ◽

Dong Ling Ma ◽

Ya Fei Zhou

Keyword(s):

Prevention And Control ◽

Mine Planning ◽

Mining Subsidence ◽

Practical Significance ◽

Analysis Method ◽

Data Format ◽

Visual Method ◽

Planning And Design ◽

And Control ◽

Visual Graph

In view of actual conditions that AutoCAD is widely used in coal mines in China, the concrete method based on CASS software is intruduced, which can realize the visual prediction and analysis of mining subsidence. Because CASS software has been developed based on AutoCAD, when the digital mining map of CAD format is used, the switchover of data format is not required, and the input, output and edit of the digital mining map is very convenient. The displacement and distortion information of mining subsidence forecast can be represented in the digital mining map by means of the visual graph, which can easily analyze and evaluate mining subsidence. Using the visual method, the efficiency and accuracy of technical decision can be enhanced, and it has practical significance for the mine planning and design and the prevention and control of mining subsidence.

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