Personnel relationship mining method based on human-house relationship data

Abstract

The invention relates to the technical field of data mining, and provides a personnel relationship mining method based on personnel-house relationship data, which comprises the following steps: step 100, acquiring personnel information and house information, and establishing a database of the personnel information and the house information; step 200, extracting relationship information between thepersonnel information and the house information, establishing a human-house association relationship between the personnel information and the house information, and storing the human-house association relationship into a database; step 300, according to the person-house association relationship between the person information and the house information, performing person relationship mining; step400, displaying the mined personnel relationship through a dynamic visualization technology, wherein wireless cascade expansion and dynamic dragging can be achieved. The personnel relationship networkcan be mined, the personnel relationship graph can be established, the personnel relationship graph can be dynamically and visually displayed, and the personnel relationship can be comprehensively reflected.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a personnel relationship mining method based on personal room relationship data. Background technique [0002] In community management, personnel as entities are the most important management objects. Generally, data collection of basic information on personnel is carried out, and personnel files are established to facilitate management and maintenance. Housing information, as the real information of the community, will also be collected and recorded, and files will be established to record the owner, resident, tenant and other information of the house. [0003] Relational mining is to find frequent patterns, associations, correlations, or causal structures that exist between item collections or object collections in entity data, relational data, or other information carriers, and can discover connections between different entities (items) in the database. . [0004] The ex...

AI Technical Summary

Problems solved by technology

[0005] The present invention mainly solves the technical problem that the existing community management technology does not establish the relationship between personnel and houses, and further digs the deep-level relationship of personnel, and proposes a personnel relationship mining method based on human-house relationship data, which can mine the relationship between personnel and personnel Network, establish a personnel relationship graph, which can dynamically and visually display the personnel relationship graph, and fully reflect the personnel relationship

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