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Call bill data relationship network interactive visualization method

A technology of relational network and bill data, applied in relational databases, database models, visual data mining, etc., can solve problems such as low efficiency and lack of intuition, reduce data volume, low analysis efficiency, and improve analysis efficiency And the effect of visual rendering efficiency

Pending Publication Date: 2020-09-01
10TH RES INST OF CETC
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Problems solved by technology

[0009] The purpose of the present invention is to solve the problems of lack of intuition and low efficiency in the existing methods, and provide an intuitive, efficient, interactive, and accurate screening of the priority contact objects of the analysis target under various social relationships. In order to solve the problems raised in the above-mentioned prior art

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  • Call bill data relationship network interactive visualization method
  • Call bill data relationship network interactive visualization method
  • Call bill data relationship network interactive visualization method

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Embodiment Construction

[0018] refer to figure 1 . According to the present invention, based on the personnel information data, the call list of the target person is collected, the massive call list data is cleaned, the cleaned call list data is stored, and the original call records are stored in the Impala database; combined with follow-up relationship network analysis According to the requirements, data modeling is carried out for personnel information data and bill data to form a bill relationship network analysis data model; data is extracted from the impala database for target personnel bill data items in the data model, and the extracted data items are Construction of the bill relationship network, forming Neo4j graph data and storing it in the Neo4j graph database; carrying out bill data mining, close contact analysis and key person discovery for the bill relationship network, and obtaining the key person node set, for each key person and their Mining the communication rules of the close cont...

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Abstract

The invention discloses a call bill data relationship network interactive visualization method, and aims to provide a visualization scheme with high interactivity. The method is realized through the following technical scheme: in combination with the requirements of subsequent relational network analysis, data modeling is carried out on personnel information data and call bill data to form a callbill relational network analysis data model; data in the Impala database is extacted, and a call bill relationship network is constructed; telephone bill data mining is carried out on the telephone bill relationship network to obtain a key character node set; a threshold value TopN, an in-degree threshold value InNum and an out-degree threshold value OutNum of the number of subordinate nodes returned by the click node are set; the number of communication times between the selected node and all subordinate nodes is calculated, the nodes are arranged in a descending order, and it is judged thatthe nodes of the TopN before sorting as close contacts; and according to different social behavior laws, social relation weights corresponding to the classification data are judged, and each classification result is output in two visual forms of a form and an image.

Description

technical field [0001] The invention belongs to the field of data mining and analysis, and relates to an interactive visualization method for bill data relational network. Background technique [0002] Big data analytics play a key role in simplifying the volume of data and reducing the complexity of big data applications. Visualization is one of the important ways, which can help big data to obtain a complete data view and mine the value of data. With the advent of the era of big data, various common data analysis methods have been widely studied and applied in the research and industry circles. With the development of visualization technology, visualization-based analysis methods have begun to play an important role in many fields, such as text analysis, social network analysis, and spatiotemporal data analysis. Data visualization is the presentation of data in different forms in different systems. Data mining is a process of discovering information from a large amount ...

Claims

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Application Information

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IPC IPC(8): G06F16/26G06F16/2458G06F16/28G06F16/215
CPCG06F16/26G06F16/2465G06F16/285G06F16/215Y02D10/00
Inventor 丁洪丽代翔崔莹黄细凤
Owner 10TH RES INST OF CETC
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