Subscriber classification within telecom networks utilizing big data technologies and machine learning
暂无分享,去创建一个
[1] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[2] U. Brandes. A faster algorithm for betweenness centrality , 2001 .
[3] David A. Bader,et al. SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.
[4] Nitesh V. Chawla,et al. DisNet: A Framework for Distributed Graph Computation , 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.
[5] B. Bollobás. The evolution of random graphs , 1984 .
[6] M. Newman. Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[7] Jimmy J. Lin,et al. Design patterns for efficient graph algorithms in MapReduce , 2010, MLG '10.
[8] F ROSENBLATT,et al. The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.
[9] Scott Shenker,et al. Spark: Cluster Computing with Working Sets , 2010, HotCloud.
[10] Jimeng Sun,et al. Centralities in Large Networks: Algorithms and Observations , 2011, SDM.
[11] Jin-Soo Kim,et al. HAMA: An Efficient Matrix Computation with the MapReduce Framework , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.
[12] Katarzyna Musial,et al. User position measures in social networks , 2009, SNA-KDD '09.
[13] P. Erdos,et al. On the evolution of random graphs , 1984 .
[14] Aiko M. Hormann,et al. Programs for Machine Learning. Part I , 1962, Inf. Control..
[15] Fredrik Hildorsson. Scalable Solutions for Social Network Analysis , 2009 .
[16] A. Rbnyi. ON THE EVOLUTION OF RANDOM GRAPHS , 2001 .
[17] Y. Narahari,et al. A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks , 2011, IEEE Transactions on Automation Science and Engineering.
[18] Yoav Freund,et al. Large Margin Classification Using the Perceptron Algorithm , 1998, COLT.
[19] Jonathan Cohen,et al. Graph Twiddling in a MapReduce World , 2009, Computing in Science & Engineering.
[20] Martin Everett,et al. Ego network betweenness , 2005, Soc. Networks.
[21] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[22] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[23] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing - "ABSTRACT" , 2009, PODC '09.
[24] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[25] Srikanta Tirthapura,et al. Proceedings of the 28th ACM symposium on Principles of distributed computing , 2009, PODC 2009.
[26] David W. Hosmer,et al. Applied Logistic Regression , 1991 .