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Interactive visualization method for event detection on attribute network

An event detection, interactive technology, applied in digital data information retrieval, instruments, computing and other directions, can solve the problems of lack of sub-graph visualization, lack of integration of human interaction and so on

Inactive Publication Date: 2021-03-16
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Lack of visualization of subgraphs, human experience to determine the quality of the results of detected events, no integration of human interaction

Method used

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  • Interactive visualization method for event detection on attribute network
  • Interactive visualization method for event detection on attribute network
  • Interactive visualization method for event detection on attribute network

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Experimental program
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Embodiment Construction

[0036] To overcome the deficiencies of existing techniques, an interactive visualization method for event detection on attribute networks is provided. Including the following aspects of work:

[0037] 1) Network construction;

[0038] 2) Interaction type definition and event definition;

[0039] 3) The definition of the objective function that integrates human interaction;

[0040] 4) Algorithm definition that integrates human interaction on the attribute network;

[0041] 5) Design and implementation of the visual interface of the subgraph.

[0042] Specifically include the following steps:

[0043] 1-1) Time slice division, network construction: Divide data into different time slices, construct attribute network G=(V,E,P) for each time slice, where V is a set of vertices, and E is an edge (relationship) Set, P is a feature vector, P(i) is also called the p-value of node i, which defines the attributes of node i and is used to indicate the degree of abnormality of this n...

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PUM

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Abstract

The invention discloses an interactive visualization method for event detection on an attribute network. The method comprises the following steps: 1) network construction; 2) interactive operation type definition and event definition; 3) target function definition of human interaction; 4) an algorithm definition fusing human interaction on the attribute network; and 5) design and completion of a sub-graph visual interface. Sub-graphs are displayed through a visualization technology, and the sub-graphs inquired by the machine are continuously optimized on the basis of interaction operation of alarge number of experts, so that more accurate events are detected. Definitions related to attribute network interaction search sub-graphs are given such as interaction operation and events; a targetfunction and algorithm design fusing the human interaction operation are proposed to dynamically correct the optimal sub-graphs found by the machine; the sub-graphs are displayed in real time by utilizing a visualization technology and interacting with the sub-graphs.

Description

technical field [0001] The invention belongs to the technical field of computer software, and in particular relates to an interactive visualization method for event detection on attribute networks. Define the events in the network as a subgraph composed of connected nodes, integrate human interaction on the subgraph detected by the machine, and allow multiple interactions through the visualized subgraph, continuously correct the event detection results of the machine, and then complete the event of the attribute network Detection, to get a more accurate description of the subgraph structure of the event. Background technique [0002] Event detection is one of the hot research issues in the field of data mining. In recent years, it has attracted many scholars. Some people mine events in time series data, and there are also events in streaming data or networks. Our research is based on networks (sometimes also referred to as Event mining called graphs) focuses on attribute ne...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9538
CPCG06F16/9535G06F16/9538
Inventor 于洋武南南王文俊孙英
Owner TIANJIN UNIV
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