Telecommunications Customers Churn Monitoring using Flow Maps and Cartogram Visualization
暂无分享,去创建一个
[1] Christopher M. Bishop. Latent Variable Models , 1998, Learning in Graphical Models.
[2] Paulo J. G. Lisboa,et al. Seeing is believing: The importance of visualization in real-world machine learning applications , 2011, ESANN.
[3] Alfredo Vellido,et al. Cartogram representation of the batch-SOM magnification factor , 2012, ESANN.
[4] Àngela Nebot,et al. Cartogram visualization for nonlinear manifold learning models , 2012, Data Mining and Knowledge Discovery.
[5] Ashutosh Tiwari,et al. Computer assisted customer churn management: State-of-the-art and future trends , 2007, Comput. Oper. Res..
[6] Christopher K. I. Williams,et al. Magnification factors for the GTM algorithm , 1997 .
[7] Christopher M. Bishop,et al. GTM: The Generative Topographic Mapping , 1998, Neural Computation.
[8] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[9] M. Newman,et al. From The Cover: Diffusion-based method for producing density-equalizing maps. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[10] P. Hanrahan,et al. Flow map layout , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..
[11] Bettina Speckmann,et al. Flow Map Layout via Spiral Trees , 2011, IEEE Transactions on Visualization and Computer Graphics.
[12] Paulo J. G. Lisboa,et al. Making machine learning models interpretable , 2012, ESANN.
[13] Terry A. Slocum. Thematic Cartography and Visualization , 1998 .
[14] Waldo R. Tobler. Thirty Five Years of Computer Cartograms , 2004 .