| With the continuous development of communication technology and the emergence of various types of communication, communication has become an integral part of people's lives. With the technological development and social progress,the requirements for information exchanging are increased gradually.People are linked up all around the world by various communication tools such as internet, cable telephone network and wireless communication networks,etc. Therefore, the research of these communication behaviors has became an important research field,which introduces an important branch studied by the paper.It is the concept of communication behavior fingerprint to represent the uniqueness of the communication features. Not only can it study the uniqueness of communication among human beings, which guide businesses to provide more targeted services and furnish informationbring to the enterprise for business decision-making, but also the research communication behaviors can provide information support for public safety which can support the security.Based on the association rules, this paper introduces the features of association rules mining in relational database. Building on the advantages of the traditional Apriori-algorithm, a new association rule mining algorithm, which is combined with SQL and running on relational databases efficiently,is realized.This paper presents the implementation of the Fingerprint of Communication Behavior and defines the concept of the fingerprint and its coding structure .Then based on association rules,the paper has applied the communication behaviors fingerprint encoding method to voice calls. A specific coding procedure is given and the uniqueness of data encoding was analyzed. Finally, a specific application has been given for fingerprint encoded of voice calls behavior, which could classify and distinguish a large number of encoded data of voice calls behavior for different classes of calls behavior.This function uses BP neural network. |
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