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

The Scientific World Journal

Volumn 2014, Issue , 2014, Pages

  Liu, Dong Sheng ^a   Fan, Shu Jiang ^a  

^a ZHEJIANG GONGSHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; CODING ALGORITHM; DECISION TREE; GENETIC ALGORITHM; MATHEMATICAL ANALYSIS; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER NETWORK; CONSUMER ATTITUDE; DECISION SUPPORT SYSTEM; MOBILE PHONE; PROCEDURES; TELECOMMUNICATION; WIRELESS COMMUNICATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CELL PHONES; COMPUTER COMMUNICATION NETWORKS; CONSUMER BEHAVIOR; DECISION SUPPORT TECHNIQUES; PATTERN RECOGNITION, AUTOMATED; TELECOMMUNICATIONS; WIRELESS TECHNOLOGY;

EID: 84896343875     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/468324     Document Type: Article

References (17)

1. Han S. H., Lu S. X., Leung S. C. H., Segmentation of telecom customers based on customer value by decision tree model. Expert Systems with Applications 2012 39 4 3964 3973 2-s2.0-82255179262 10.1016/j.eswa.2011.09.034
2. Xiao J., Xie L., He C., Jiang X., Dynamic classifier ensemble model for customer classification with imbalanced class distribution. Expert Systems with Applications 2012 39 3 3668 3675 2-s2.0-80255137251 10.1016/j.eswa.2011.09.059
3. Luo N., Mu Z. C., Bayesian network classifier and its application in CRM. Computer Application 2004 24 3 79 81
4. Chiang W.-Y., Applying a new model of customer value on international air passengers' market in Taiwan. International Journal of Tourism Research 2012 14 1 116 123 2-s2.0-84856051894 10.1002/jtr.840
5. Zheng M. -C., A Comparative Analysis of Classifying Algorithms in Data Mining Technology 2007 Lanzhou University of finance and Economics
6. Zhang C.-E., Banks' Personal Client Segmentation Research Based on Decision Tree 2007 North China Electric Power University
7. Chen Y.-J., Design and implementation of a hibernal tree classification system based on bayes. Computer Applications and Software 2009 26 6 178 180
8. Zhou Y., Zhu A.-F., Zhou L., Qian X., Sample data selection method for neural network classifiers. Journal oF Huazhong University of Science and Technology 2012 40 6 39 43
9. Shu Z., The Research of Fingerprint Classification Based on Genetic Algorithm 2006 Huazhong University of Science and Technology
10. Quinlan J. R., Induction of decision trees. Machine Learning 1986 1 1 81 106 2-s2.0-33744584654 10.1007/BF00116251
11. Quinlan J. R., C4.5: Programs for Machine Learning 1993. New York, NY, USA Morgan Kaufmann Publishers
12. Kass G., An exploratory technique for investigating large quantities of categorical data. Applied Statistics 1980 29 2 119 127
13. Breiman L., Friedman J. H., Olshen R. A., Stone C. J., Classification and Regression Trees 1984. New York, NY, USA Chapman and Hall/CRC
14. Quinlan J. R., Bagging, boosting, and C4.5. Proceedings of the 13th National Conference on Artificial Intelligence August 1996 Portland, Oregon 725 730 2-s2.0-0030370417
15. Freund Y., SchPaire R. E., A decision theoretic generalization of on line learning and an application to boosting. Computational Learning Theory 1997 904 23 37
16. Pang S.-L., Gong J.-Z., C5.0 classification algorithm and its application on individual credit score for banks System Engineering Theory and Practice 2009 29 12 94 104 2-s2.0-74249089469
17. Yang J., Fei Z., Broadcasting with prediction and selective forwarding in vehicular networks. International Journal of Distributed Sensor Networks 2013 2013 9 309041 10.1155/2013/30904