Group identification method based on personnel behavior rule and data mining method

A technology of data mining and identification methods, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as huge and complex data

Active Publication Date: 2018-01-26
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Through these technologies, the signal receiving device can collect a large amount of mobile object data from the positioning terminal. These data contain very rich information, such as location information, time information, etc., and as time goes by, the amount of data will become more and more bigger and more complex

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  • Group identification method based on personnel behavior rule and data mining method
  • Group identification method based on personnel behavior rule and data mining method
  • Group identification method based on personnel behavior rule and data mining method

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Embodiment Construction

[0062] The present invention will be explained and illustrated below in conjunction with related drawings:

[0063] The data set used in the present invention is Microsoft's open source project Geolife. In this project, GPS track data (2007.4-2012.8) of 182 volunteers was collected during five years. This data set contains 17,621 trajectories, with a total mileage of 1,292,951 kilometers and a total duration of 50,176 hours. Each trajectory contains a timestamp, latitude and longitude and altitude. These trajectories are collected by different GPS sampling devices, and 91.5% of the samples are dense, with one point every 5 seconds or every 5-10 meters. The data set records a wide range of outdoor activities of people, including not only living habits such as going home and going to work, but also some entertainment and sports activities such as shopping, sightseeing, dining, hiking and cycling. Although this data set is widely distributed in more than 30 cities in China, even i...

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Abstract

The invention discloses a group identification method based on a personnel behavior rule and a data mining method, belongs to the field of data mining, and particularly relates to a method for identifying key groups in large-scale activities based on the personnel behavior rule. Residence areas and the frequency of the personnel to go to the residence areas are extracted via trajectory data information of the personnel, then semantic information of the areas is further extracted to express user behaviors more accurately based on the extracted residence area information of the personnel, groupclustering is performed by using the data mining method and combining the personnel behavior rule with the feature similarity, and a special key group is identified from the target groups.

Description

Technical field [0001] The invention belongs to the field of data mining, and relates to a method for identifying key groups in large-scale activities based on the law of personnel behavior. Background technique [0002] With the increase in market economic activities and the improvement of people's material and cultural living standards, various large-scale events are held more frequently. These large-scale events pose serious challenges to the safe conduct of activities and the prevention of emergencies. The first and most important issue of safety precautions for large-scale events is how to identify special groups in the target population in order to prevent them in advance. At the same time, the rapid development of wireless communication technology has spawned a large amount of mobile object data, which portrays the temporal and spatial dynamics of individuals and groups, and contains behavioral information of moving objects. By analyzing the movement data of the target per...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 丁治明司云飞才智曹阳迟远英
Owner BEIJING UNIV OF TECH
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