Various user detail data based individual identification algorithm model and processing technology
A recognition algorithm and user technology, applied in character and pattern recognition, computing, computer components, etc., can solve problems such as immaturity and increase, and achieve the effect of simple design, strong practicability and good operability
Inactive Publication Date: 2016-12-14
贵州力创科技发展有限公司
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Problems solved by technology
[0002] Due to the continuous expansion of the scale of mobile communication and the continuous development of technology, the prices of system equipment and terminals are gradually decreasing. The sales promotion method is used to promote the growth of the number of mobile users. Therefore, the phenomena of one person with multiple devices, one device with multiple cards, and even multiple devices with multiple operators are increasing. In this statistics, it is necessary to carry out individual identification of users. However, this technology in the prior art not yet mature
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Embodiment Construction
[0023] An embodiment of the present invention: an individual identification algorithm model and processing technology based on various user detail data, characterized in that: the method uses user activity characteristic DNA to complete population individual identification, and then uses a clustering algorithm to complete population clustering, Finally, the decision tree CS.O is used to complete the cluster boundary mining.
[0024] Among them, the population individual identification modeling steps are:
[0025] 1. Compare Imei; compare whether Imei overlaps, such as multi-card users, if not overlap, proceed to the next step;
[0026] 2. Construct the characteristic DNA of user activity. The activity characteristic DNA includes call location, activity trajectory and activity law, and use principal component analysis algorithm to extract user activity characteristic DNA;
[0027] 3. Through DNA comparison, if the overlap is high, it is a multi-machine user, otherwise it is a single-ca...
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The invention discloses a various user detail data based individual identification algorithm model and processing technology. The characteristics lie in that the method adopts user activity characteristic DNA to accomplish population individual identification, then a clustering algorithm is adopted to accomplish population clustering, and finally a decision-making tree CS.O is adopted to accomplish cluster boundary mining. Through the process of population individual identification, population clustering and cluster boundary mining, the method accomplish individual identification for users in statistics when a phenomenon of one-person-multiple-machine, one-machine-multiple-card or even multiple-machine-multiple-operator occurs. The various user detail data based individual identification algorithm model and processing technology is simple in design scheme, good in operability and high in practicability.
Description
Technical field [0001] The invention relates to mobile communication technology, in particular to an individual identification algorithm model and processing technology based on various user detailed data. Background technique [0002] Due to the continuous expansion of the scale of mobile communication and the continuous development of technology, the prices of system equipment and terminals are gradually decreasing. At the same time, mobile operators will continue to reduce mobile communication tariffs and continue to introduce new Promotional methods are used to promote the growth of the number of mobile users. Therefore, the phenomenon of one person with multiple phones, one phone with multiple cards and even multiple phones with multiple operators is increasing. In this statistics, it is necessary to identify users individually. However, in the prior art, this technology It has not yet reached the mature stage. Summary of the invention [0003] The technical problem to be so...
Claims
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CPCG06F18/2323G06F18/23213
Inventor 刘新华李卫群周发辉李琨张佳杰邓璐杨迪邱勰王友刘陆刘慧明陈佳运黄纪萍
Owner 贵州力创科技发展有限公司