Model for Link Prediction in Social Network by Genetic Algorithm Approach
A. Popescul, L. Ungar, S. Lawrence, and D. Pennock, “Statistical relational learning for document mining,” in ICDM, 2003.
B. Taskar, P. Abbeel, and D. Kollerk, “Discriminative probabilistic models for relational data,” in UAI, 2002.
C. Wang, V. Satuluri, and S. Parthasarathy, “Local probabilistic models for link prediction,” in ICDM, 2007.
D. Liben-Nowell and J. Kleinberg, “The link prediction problem for social networks,” in LinkKDD, 2004.
H. Kashima and N. Abe, “A parameterized probabilistic model of evolution for supervised link prediction,” in ICDM, 2006.
L. Getoor, N. Friedman, D. Koller, and B. Taskar, “Learning probabilistic models of relational structure,” in ICML, 2001.
Lada A. Adamic and Eytan Adar,” Friends and neighbors on the web”, Social Networks, 25(3):211-230, July 2003.
M. Al-Hassan, V. Chaoji, S. Salem, and M. J. Zaki, “Link prediction using supervised learning,” in workshop on Link Analysis, Counterterrorism and Security (at SDM), 2005.
M. Bilgic, G. Namata, and L. Getoor, “Combining collective classification and link prediction,” in Workshop on Mining Graphs and Complex Structures (at ICDM), 2007.
M. E. J. Newman, “Clustering and preferential attachment in growing networks,” Physical review Letters, 2001.
O. Hassanzadeh and et al, “A framework for semantic link discovery over relational data,” in CIKM, 2009.
O. Nasraoui and R. Krishnapuram, “One step evolutionary mining of context sensitive associations and Web navigation patterns,” in Proc. SIAM Int. Conf. Data Mining, Arlinton, VA, Apr. 2002, pp, 531-547.
Barbasi Albert-Laszlo, Albert Reka, Emergence of scaling in random networks, Science, 509-512, 2009.
Gong z. et l., co-fermentation of cellobiose and xylose by Lipomyces starkeyi for lipid production. Bioresour Technol. 117, 20-24, 2012.
Clauset A., Shalizi C. R., and Newman M. E. J., Power-law distributions in empirical data, SIAM Review, 51, 661-703, 2009.
Li, R. H. at el. Link prediction: the power of maximal entropy random walk.Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM) 1147–1156. ACM, New York, 2011.
Lictenwalter, Lussier, et al., New perspectives and methods in link prediction. Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining. 243-252. ACM, New York, 2010.
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing (1989).
Holland, J.H.: Adaptation in Natural and Artificial Systems. Univ. of Michigan Press, Ann Harbor Mich. (1975)
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