Semi-supervised regression for evaluating convenience store location

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2009, Pages 1389-1394

  Bai, Xinxin ^a   Chen, Gang ^a,b   Tian, Qiming ^a   Yin, Wenjun ^a   Dong, Jin ^a  

^a IBM CHINA RESEARCH LAB   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS;

APPLICATION SCENARIO; CANDIDATE LOCATIONS; CONVENIENCE STORE LOCATIONS; CONVENIENCE STORES; LONG-TERM INVESTMENT; MANIFOLD REGULARIZATIONS; PERFORMANCE PREDICTION; SPATIAL DATA ANALYSIS;

LOCATION;

EID: 78751688241     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. D.D. Achabal, W.L. Gorr, and V. Mahajan. Multiloc: a mulitiple store location decision model. Journal of Retailing, 58(2):5-25, 1982.
2. D.R. Arnold, L.M¿ Capella, and G.D. Smith. Strategic Retail Management. Addison-Wesley, 1983.
3. Xinxin Bai, Wei Shang, Wenjun Yin, and Jin Dong. A service-oriented solution for retail store network planning. In Proc. of IEEE International Conference on Services Computing, 2007.
4. M. Belkin, P. Niyogi, and V. Sindhwani. On manifold regularization. In Proc. of AISTATS, 2005.
5. Chih-Chung Chang and Chih-Jen Lin. Libsvm: a library for support vector machines, 2001.
6. C.S. Craig, A. Ghosh, and S. McLafferty. Model of the retail location process: a review. Journal of Retailing, 60(1):5-36, 1984.
7. M.F. Goodchild. Ilacs: a location-allocation model for retail site selection. Journal of Retailing, 60(1):84-100, 1984.
8. A.K. Jain and V. Mahajan. Evaluating the competitive environment in retailing using multiplicative competitive interactive model. Research in Marketing, 2, 1979.
9. Thorsten Joachims. Text categorization with support vector machines: Learning with many relevant features. In Proc. of ECML, pages 137-142. Springer Verlag, 1998.
10. R.J. Kuo, S.C. Chi, and S.S. Kao. A decision support system for selecting convenience store lcoation through integration of fuzzy ahp and artificial neural network. Computers in Industry, 47:199-214, 2002.
11. R. Rifkin, G. Yeo, and T. Poggio. Regularized least squares classification. In Advances in Learning Theory: Methods, Models and Applications. IOS Press, 2003.
12. Bernhard Schlkopf and Alexander Smola. Learning with Kernel: Support Vector Machines, Regularization, Optimization, and Beyond. The MIT Press, 2001.
13. V. Vapnik. The Nature of Statistical Learning Theory. Springer, 1995.
14. Y. Yao. Beijing downtown-mapping customer research in an urban core. Column of GIS Retail, 12(4), 2002.
15. Wenjun Yin, Xinxin Bai, Minghua Zhu, Ming Xie, and Jin Dong. ifao: Spatial decision support services for facility network transformation. In Proc. of IEEE International Conference on Services Computing, 2008.
16. D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. In Proc. of NIPS, 2003.
17. X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian random fields and harmonic functions. In Proc. of ICML, 2003.
18. X. Zhu. Semi-supervised learning literature survey. Techinial Report TR 1530, University of Wisconsin-Madision, 2006.