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Telecom tariff optimizing system and method based on adjacent mass data rapid analysis

A technology for fast analysis and massive data, applied in data processing applications, electrical digital data processing, special data processing applications, etc., to achieve the effects of reducing running time, improving computing speed, and fast analysis

Active Publication Date: 2014-05-14
UNIV OF JINAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above problems and provide a system and method for optimizing telecommunication packages based on rapid analysis of adjacent massive data, which can realize automatic high-speed processing of massive telecommunication data, and obtain packages that highly match the needs of target user groups solution, avoiding the high time complexity problems caused by using complex models to model massive data, and improving the reliability of optimization results

Method used

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  • Telecom tariff optimizing system and method based on adjacent mass data rapid analysis
  • Telecom tariff optimizing system and method based on adjacent mass data rapid analysis
  • Telecom tariff optimizing system and method based on adjacent mass data rapid analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0104](1) User input related parameters

[0105] Step (201): According to the target user group, the user selects 100 representative target users from the customer information database.

[0106] Step (202): Set the desired package including call duration less than 100 minutes, text message range less than 50, data not included, and package tariff standard between 10 yuan and 20 yuan.

[0107] Step (203): set the time length as the data of the past 2 years.

[0108] Step (204): Set the reference data size to 10,000 user records.

[0109] Step (205): set the population size to 50, and the maximum number of iterations to 10,000 generations.

[0110] (2) Automatic package optimization by computer

[0111] Step (206): extract the original target data of the user records of the target user group in the last 2 years.

[0112] Step (207): Extract feature vectors for each user from the original target data (user's monthly average call time, user's average number of SMS messages per...

specific Embodiment 3

[0138] (1) User input related parameters

[0139] Step (301): The user selects 100 representative target users from the customer information database according to the target user group.

[0140] Step (302): Set the expected package to include 30 to 50 text messages, 5M to 10M traffic, excluding calls, and the package fee to be between 10 and 20 yuan.

[0141] Step (303): set the time length as the data of the last 3 years.

[0142] Step (304): Set the reference data size as 100,000 user records.

[0143] Step (305): set the population size to 100, and the maximum number of iterations to 3000 generations.

[0144] (2) Automatic package optimization by computer

[0145] Step (306): extract the original target data of the user records of the target user group in the last 3 years.

[0146] Step (307): Extract feature vectors for each user from the original target data (the average number of SMS messages per month, the average monthly Internet traffic of users, the monthly cons...

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Abstract

The invention discloses a telecom tariff optimizing system and method based on adjacent mass data rapid analysis. The telecom tariff optimizing system comprises a parameter input module, the parameter input module respectively transmits parameter information to a data generation module and a tariff optimizing module, the data generation module transmits data to the tariff optimizing module, and both the parameter input module and the data generation module extract the data from a customer information database. The tariff optimizing module is used for conducting tariff optimizing according to reference historical data, target historical data and parameter setting. An evolution algorithm module is used for continuously generating feasible tariffs according to adaptive values and conducting tariff optimizing. A tariff adaptive value assessment module adopts the rapid analysis method based on adjacent mass data and is used for assessing each feasible tariff. A similarity calculation module is used for measuring the vector similarity between two vectors. According to the telecom tariff optimizing system and method, automatic high-speed processing on mass telecom data can be achieved, and a tariff scheme matched with the requirements of target user groups to a high degree is obtained.

Description

technical field [0001] The present invention relates to the fields of telecommunication technology and data mining, and specifically relates to a telecommunication package optimization system and method based on rapid analysis of adjacent mass data. Background technique [0002] The telecommunications industry occupies an important position in the national economy and penetrates into every aspect of people's lives. On the one hand, when telecom operators launch new service packages, different user groups have different needs, resulting in diversity and complexity of user needs. On the other hand, due to the high penetration rate of telecom operators and the high frequency of information exchange and collection, the amount of data they possess is extremely large. Telecom operators have massive user data, signaling data, log data, traffic data, location data, etc. Therefore, there is an urgent need for an automated optimization design technology, so that targeted and reliabl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/04
CPCG06F16/2465G06Q10/04
Inventor 王琳杨波
Owner UNIV OF JINAN
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