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A Study on the Application of Artificial Intelligence in Direct Torque Control

Author: ShenZuoZuo
Tutor: DongYunYao
School: Hangzhou University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Customer Relationship Management Multiple clustering algorithm ID3 algorithm Credit model Loyalty model
CLC: TP311.13
Type: Master's thesis
Year: 2009
Downloads: 62
Quote: 0
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Abstract


With the re-integration of the telecommunications business in China, the competition between the Chinese telecom operators increasingly intense, and network service quality gaps are getting smaller and smaller, the carriers of the the mere price war competition losses. Therefore, the telecommunications companies are beginning to seek to improve the quality of customer service, increase market competitiveness. The face of increasingly fierce market competition, the telecom companies urgently need to improve the the internal scientific decision-making ability, enhanced ability to judge the correct operating in the market, telecom operators need to analyze customer value for decision support. In addition, telecom operators have accumulated a large number of user call information, these data are already electronic data through data mining techniques, you can find a lot of valuable information from these data, such as the user's consumption behavior. User value can further evaluate consumer behavior based on the user, user groups points to identify a high-quality user market operations department can provide more targeted market strategy accordingly, saving the cost of marketing. Zhejiang Mobile Communication Company user call information for the study to establish the value of the company's user evaluation model and user grouping matrix. Research customer relationship management (CRM / CustomerRelationshipManagement) combined with the characteristics of the business, the user according to the user value model is divided into low-value users, four times the value of the user, the users and the high value of the potential value of user types of users, including the potential value of user and high-value users is the above-mentioned high-quality user. Preprocessing user call information in the course of the study, the use of hierarchical coding method after the processing of this method of data with high safety, easy expansion, accurate data standard. In order to establish the the user value evaluation model, divided into two parts of the current value and potential value of the value of the user to examine. Frequency statistics and least squares method to identify the user's current value of the critical value, so as to establish the user's current value of the critical model, and further build predictive models using multiple clustering method and a decision tree algorithm (ID3) used to measure the potential value of the user credit and loyalty. Multiple clustering method in the system clustering method based on the increase in the clustering of indicators, to improve the accuracy of clustering results, improvements to the traditional method. On this basis, through the study of user value, establish user value clustering matrix, and so to develop effective strategies to enhance customer value. Mining of Zhejiang Mobile users call information to identify the relationship between the user, the user demand for deep-seated looking for such enterprises, to provide new ideas and methods to develop a more rational voice plan. Actual case, the effectiveness and feasibility of the model is validated, show that the results of this study have a direct role in guiding the company's customer value management, customer relationship management to other telecom operators have a certain reference value .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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