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A modified decision tree algorithm based on genetic algorithm for mobile user classification problem.

Liu DS, Fan SJ - ScientificWorldJournal (2014)

Bottom Line: In order to offer mobile customers better service, we should classify the mobile user firstly.We also take the context information as a classification attributes for the mobile user and we classify the context into public context and private context classes.Then we analyze the processes and operators of the algorithm.

View Article: PubMed Central - PubMed

Affiliation: College of Computer Science & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China ; Center for Studies of Modern Business, Zhejiang Gongshang University, Hangzhou 310018, China.

ABSTRACT
In order to offer mobile customers better service, we should classify the mobile user firstly. Aimed at the limitations of previous classification methods, this paper puts forward a modified decision tree algorithm for mobile user classification, which introduced genetic algorithm to optimize the results of the decision tree algorithm. We also take the context information as a classification attributes for the mobile user and we classify the context into public context and private context classes. Then we analyze the processes and operators of the algorithm. At last, we make an experiment on the mobile user with the algorithm, we can classify the mobile user into Basic service user, E-service user, Plus service user, and Total service user classes and we can also get some rules about the mobile user. Compared to C4.5 decision tree algorithm and SVM algorithm, the algorithm we proposed in this paper has higher accuracy and more simplicity.

Show MeSH
Modified decision tree algorithm processes.
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Related In: Results  -  Collection


getmorefigures.php?uid=PMC3934380&req=5

fig9: Modified decision tree algorithm processes.

Mentions: The framework of the algorithm processes is shown in Figure 9 and the algorithm description is shown in Algorithm 2.


A modified decision tree algorithm based on genetic algorithm for mobile user classification problem.

Liu DS, Fan SJ - ScientificWorldJournal (2014)

Modified decision tree algorithm processes.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3934380&req=5

fig9: Modified decision tree algorithm processes.
Mentions: The framework of the algorithm processes is shown in Figure 9 and the algorithm description is shown in Algorithm 2.

Bottom Line: In order to offer mobile customers better service, we should classify the mobile user firstly.We also take the context information as a classification attributes for the mobile user and we classify the context into public context and private context classes.Then we analyze the processes and operators of the algorithm.

View Article: PubMed Central - PubMed

Affiliation: College of Computer Science & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China ; Center for Studies of Modern Business, Zhejiang Gongshang University, Hangzhou 310018, China.

ABSTRACT
In order to offer mobile customers better service, we should classify the mobile user firstly. Aimed at the limitations of previous classification methods, this paper puts forward a modified decision tree algorithm for mobile user classification, which introduced genetic algorithm to optimize the results of the decision tree algorithm. We also take the context information as a classification attributes for the mobile user and we classify the context into public context and private context classes. Then we analyze the processes and operators of the algorithm. At last, we make an experiment on the mobile user with the algorithm, we can classify the mobile user into Basic service user, E-service user, Plus service user, and Total service user classes and we can also get some rules about the mobile user. Compared to C4.5 decision tree algorithm and SVM algorithm, the algorithm we proposed in this paper has higher accuracy and more simplicity.

Show MeSH