An Emerging Classification Method for Huge Dataset in Clustering
Guido Bologna. A Study on Rule Extraction from Neural Networks Applied to Medical Databases. The 4th European Conference on Principles and Practice of Knowledge Discovery (PKDD2000), Lyon, France, Sept 2000.
Schiffmann W, Joost M, Werner R. Optimization of the Backpropagation Algorithm for Training Multilayer Perceptrons. Technical report (1994). University Koblenz, Institute of Physics.
Tjen-sien Lim, Wei-yin Loh,Yu-shan Shih. A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms. Machine Learning, 40, 203-229 (2000). 2000 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
Zhao Ying ,Gao Jun ,Wang Rong-gui ,Hu Jing. An Extended Nearest Neighbor Method Based on Bionic Pattern Recognition. Acta Electronica Sinica. 2004.12: 196-198.
Leake D B. CBR in context: The present and future. In Leake D B, editor, Cased-Based Reasoning: Experience, Lessons, and Future Direction. Menlo Park: AAAI Press, 1996:3-30.
Shengyi Jiang, Xiaoyu Song, etc. A clustering-based method for unsupervised intrusion detections. Pattern Recognition Letters. 2006 (27):802-810
Charles Elkan. Results of the KDD'99 Classifier Learning Contest. URL: http://www.cs.ucsd.edu/users/elkan/clresults.html.
S.T. Teoh and K. Ma, “PaintingClass: interactive construction, visualization and exploration of decision trees,” Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, Washington, D.C.: ACM, 2003, pp. 667-672.
M. Ankerst, C. Elsen, M. Ester, and H. Kriegel, “Visual classification: an interactive approach to decision tree construction,” Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, 1999, pp. 392-396.
Q. Cui and J. Yang, “Measuring Data Abstraction Quality in Multiresolution Visualizations,” IEEE Transactions on Visualization and Computer Graphics, vol. 12, 2006, pp. 709-716.
D. Yang, Z. Xie, E.A. Rundensteiner, and M.O. Ward, “Managing discoveries in the visual analytics process,” SIGKDD Explor. Newsl., vol. 9, 2007, pp. 22-29.
G. Ellis and A. Dix, “Density control through random sampling: an architectural perspective,” Information Visualisation, IV 2002., 2002, pp. 82–90.
E. Bertini and G. Santucci, “Give chance a chance: modeling density to enhance scatter plot quality through random data sampling,” Information Visualization, vol. 5, 2006, pp. 95–110.
R.A. Amar, “Knowledge Precepts for Design and Evaluation of Information Visualizations,” IEEE Transactions on Visualization and Computer Graphics, vol. 11, 2005, pp. 432-442.
C. Plaisant, J. Fekete, and G. Grinstein, “Promoting Insight- Based Evaluation of Visualizations: From Contest to Benchmark Repository,” Visualization and Computer Graphics, IEEE Transactions on, vol. 14, 2008.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.