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

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 re...

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Published in:Scientific World Journal pp. 468324 - 468325
Main Authors: Liu, Dong-Sheng, Fan, Shu-Jiang
Format: research Journal Article
Published: Wiley-Blackwell 2014
Online Access:View this record in EBSCOhost
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      dt: 2014
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2014/468324
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        atl: A modified decision tree algorithm based on genetic algorithm for mobile user classification problem.
      aug:
        au:
          Liu, Dong-Sheng
          Fan, Shu-Jiang
        affil: College of Computer Science & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China ; Center for Studies of Modern Business, Zhejiang Gongshang University, Hangzhou 310018, China.
      sug:
        subj:
          Algorithms
          Cellular Phone
          Computer Communication Networks
          Consumer Satisfaction
          Decision Support Techniques
          Telecommunications
          Wireless Communications
          Artificial Intelligence
          Information Science Methods
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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