CN109271593A - Military project group personal information labeling process based on cluster - Google Patents

Military project group personal information labeling process based on cluster Download PDF

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Publication number
CN109271593A
CN109271593A CN201811315268.9A CN201811315268A CN109271593A CN 109271593 A CN109271593 A CN 109271593A CN 201811315268 A CN201811315268 A CN 201811315268A CN 109271593 A CN109271593 A CN 109271593A
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China
Prior art keywords
military project
project group
module
neural network
data
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CN201811315268.9A
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Chinese (zh)
Inventor
刘林
牛志超
杜贝娜
张谦
王文超
郑鹏程
段正轩
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Beijing Jinghang Computing Communication Research Institute
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Beijing Jinghang Computing Communication Research Institute
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Priority to CN201811315268.9A priority Critical patent/CN109271593A/en
Publication of CN109271593A publication Critical patent/CN109271593A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques

Abstract

The invention belongs to information processing and analysis technical fields, more particularly to a kind of military project group personal information labeling process based on cluster, this method is implemented based on labeling system, the system comprises: data collection module, data preprocessing module, machine learning neural network clustering module, tag generation module, label application module;Compared with prior art, technical solution of the present invention can be quickly to enterprise personnel labeling, and real-time update label information, in real time into quasi- and comprehensively to enterprise personnel evaluation.And can continuous optimization neural network so that cluster more comprehensively, accuracy it is higher.Wherein, it is based on machine learning neural network clustering algorithm, by the inherent law and essential attribute in Automatic-searching sample, self-organizing, adaptive change mesh parameter and mechanism can be accurate and comprehensively to employee information cluster.Also, high fault-tolerant ability is had based on machine learning neural network clustering algorithm, clustering information is precisely and comprehensive.

Description

Military project group personal information labeling process based on cluster
Technical field
The invention belongs to information processing and analysis technical fields, and in particular to a kind of military project group personnel letter based on cluster Cease labeling process.
Background technique
Select in military project group personnel, in post scheduling, often use for reference essential information, the annual appraisal result examination of worker with And subjective evaluation etc., but these information cannot all cover the value and devotion degree of employee's routine work.And pass through And behavioral data information labels static to the personnel in drainage of human resources, portal, operation system, can be precisely and comprehensive One employee is assessed, is examined, while personal information labeling can also be applied to precision marketing, data application and user Analysis etc..When to employee information labeling, need to obtain portal, the behavioural information of personnel and manpower money in operation system The basic static information in source, how effectively to static state and behavioral data as the main problem that label is that clustering algorithm solves.Often Clustering algorithm includes: that K-mean algorithm can quickly, be simply gathered to data based on the almost distance between sample point Class;DBSCAN is connected sufficiently large adjacent area based on Density Clustering, can effectively handle abnormal data;Hierarchical Based on this cluster of layer, the decomposition of level is carried out to data set, until certain condition meets.Military enterprise personnel are believed by cluster When ceasing labeling, the cluster of personal information is may be implemented in most of clustering method, but all there is certain deficiency.K-mean Algorithm can quickly, simply to data clusters, but to the unknown sense of abnormal data;DBSCAN is based on Density Clustering can be effective Abnormal data is handled, but it is unobvious to sparse data clustering effect, it effectively cannot comprehensively cluster;Hierarchical is based on This clusters similar greedy algorithm to layer, can only local optimum.
Summary of the invention
(1) technical problems to be solved
The technical problem to be solved by the present invention is how to be directed to military enterprise personnel static state and behavioural information fast tag Change, in order to military project group personnel select, post scheduling etc..
(2) technical solution
In order to solve the above technical problems, the present invention provides a kind of personal information labeling side of military project group based on cluster Method, this method are implemented based on military project group personal information labeling system, the system comprises: data collection module, data Preprocessing module, machine learning neural network clustering module, tag generation module, label application module;
Described method includes following steps:
Step 1: military project group personnel in military project group human resource system are collected and summarized to the data collection module The behavioral data of military project group personnel in static data and portal, operation system;
Step 2: the data preprocessing module to the static data of the military project group personnel being collected into and behavioral data into Row cleaning, smooth noise, remove exceptional value completion missing values, obtain the use of the military project group personnel of pretreated vector form User data;
Step 3: the machine learning neural network clustering module includes input layer and output layer, and input layer receives data Preprocessing module treated user data;Its output layer, also referred to as competition layer are gathered using based on machine learning neural network Neuron is arranged in two-dimensional space by class algorithm in a matrix fashion, the user of one of node on behalf military project group personnel A result of the data after clustering operation;Wherein, in neural network, cluster calculating process in weight be first with compared with Small random value initialization, then multiplies to update weight according to initial personal information and weight vector difference, completes neural network Network design;
Step 4: the tag generation module is exported according to the neural network of machine learning neural network clustering module, and root Rule is set according to presetting user tag, is selected in conjunction with military project group personnel and the demand of post scheduling, formation is corresponding User tag, and real-time iterative is changed according to personal information and updates user tag information;
Step 5: the label application module realizes showing for military project group personal information labeling, passes through military project people from group The information of member's label and by the calculated corresponding demand similarity of label is selected and post to be used for military project group personnel Scheduling.
(3) beneficial effect
Compared with prior art, technical solution proposed by the present invention can be and real quickly to enterprise personnel labeling Shi Gengxin label information, in real time into standard and comprehensively to enterprise personnel evaluation.And can continuous optimization neural network, So that cluster more comprehensively, accuracy it is higher.
Wherein, it is based on machine learning neural network clustering algorithm, passes through the inherent law and essence in Automatic-searching sample Attribute, self-organizing, adaptive change mesh parameter and mechanism can be accurate and comprehensively to employee information cluster.
Also, high fault-tolerant ability is had based on machine learning neural network clustering algorithm, clustering information is precisely and comprehensive.
Detailed description of the invention
Fig. 1 is technical solution of the present invention schematic diagram.
Specific embodiment
To keep the purpose of the present invention, content and advantage clearer, with reference to the accompanying drawings and examples, to of the invention Specific embodiment is described in further detail.
To solve prior art problem, the present invention provides a kind of personal information labeling system of military project group based on cluster System comprising: data collection module, data preprocessing module, machine learning neural network clustering module, tag generation module, Label application module;
The data collection module is used to collect and summarize the quiet of military project group personnel in military project group human resource system The behavioral data of military project group personnel in state data and portal, operation system;
The data preprocessing module is used to carry out the static data and behavioral data of the military project group personnel being collected into Cleaning, smooth noise, remove exceptional value completion missing values, obtain the user of the military project group personnel of pretreated vector form Data;
The machine learning neural network clustering module includes input layer and output layer, and input layer is pre- for receiving data Processing module treated user data;Its output layer, also referred to as competition layer, for gathering using based on machine learning neural network Neuron is arranged in two-dimensional space by class algorithm in a matrix fashion, the user of one of node on behalf military project group personnel A result of the data after clustering operation;Wherein, in neural network, cluster calculating process in weight be first with compared with Small random value initialization, then multiplies to update weight according to initial personal information and weight vector difference, completes neural network Network design;
The tag generation module is used to be exported according to the neural network of machine learning neural network clustering module, and according to Presetting user tag sets rule, selects in conjunction with military project group personnel and the demand of post scheduling, forms corresponding use Family label, and real-time iterative is changed according to personal information and updates user tag information;
Label application module the showing for realizing military project group personal information labeling, pass through military project group personnel The information of label and by the calculated corresponding demand similarity of label is selected and post tune to be used for military project group personnel Degree.
In addition, the present invention also provides a kind of military project group personal information labeling process based on cluster, this method are based on Military project group personal information labeling system is implemented, the system comprises: data collection module, data preprocessing module, machine Device learning neural network cluster module, tag generation module, label application module;
As shown in Figure 1, described method includes following steps:
Step 1: military project group personnel in military project group human resource system are collected and summarized to the data collection module The behavioral data of military project group personnel in static data and portal, operation system;
Step 2: the data preprocessing module to the static data of the military project group personnel being collected into and behavioral data into Row cleaning, smooth noise, remove exceptional value completion missing values, obtain the use of the military project group personnel of pretreated vector form User data;
Step 3: the machine learning neural network clustering module includes input layer and output layer, and input layer receives data Preprocessing module treated user data;Its output layer, also referred to as competition layer are gathered using based on machine learning neural network Neuron is arranged in two-dimensional space by class algorithm in a matrix fashion, the user of one of node on behalf military project group personnel A result of the data after clustering operation;Wherein, in neural network, cluster calculating process in weight be first with compared with Small random value initialization, then multiplies to update weight according to initial personal information and weight vector difference, completes neural network Network design;
Step 4: the tag generation module is exported according to the neural network of machine learning neural network clustering module, and root Rule is set according to presetting user tag, is selected in conjunction with military project group personnel and the demand of post scheduling, formation is corresponding User tag, and real-time iterative is changed according to personal information and updates user tag information;
Step 5: the label application module realizes showing for military project group personal information labeling, passes through military project people from group The information of member's label and by the calculated corresponding demand similarity of label is selected and post to be used for military project group personnel Scheduling.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (1)

1. a kind of military project group personal information labeling process based on cluster, which is characterized in that this method is based on military project group Personal information labeling system is implemented, the system comprises: data collection module, data preprocessing module, machine learning mind Through network clustering module, tag generation module, label application module;
Described method includes following steps:
Step 1: the static state of military project group personnel in military project group human resource system is collected and summarized to the data collection module The behavioral data of military project group personnel in data and portal, operation system;
Step 2: the data preprocessing module carries out the static data and behavioral data of the military project group personnel being collected into clear Reason, smooth noise, remove exceptional value completion missing values, obtain the number of users of the military project group personnel of pretreated vector form According to;
Step 3: the machine learning neural network clustering module includes input layer and output layer, and input layer receives data and locates in advance User data after managing resume module;Its output layer, also referred to as competition layer are calculated using based on machine learning neural network clustering Neuron is arranged in two-dimensional space by method in a matrix fashion, the user data of one of node on behalf military project group personnel A result after clustering operation;Wherein, in neural network, the weight clustered in calculating process is first with lesser Random value initialization, then multiplies to update weight according to initial personal information and weight vector difference, completes the net of neural network The design of lattice structure;
Step 4: the tag generation module is exported according to the neural network of machine learning neural network clustering module, and according to pre- The user tag of setting sets rule, selects in conjunction with military project group personnel and the demand of post scheduling, forms corresponding user Label, and real-time iterative is changed according to personal information and updates user tag information;
Step 5: the label application module realizes showing for military project group personal information labeling, is marked by military project group personnel The information of label and by the calculated corresponding demand similarity of label is selected and post tune to be used for military project group personnel Degree.
CN201811315268.9A 2018-11-06 2018-11-06 Military project group personal information labeling process based on cluster Pending CN109271593A (en)

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CN114970775A (en) * 2022-07-29 2022-08-30 国家国防科技工业局军工项目审核中心 Clustering-based military industry group personnel information labeling method

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Application publication date: 20190125