
This Article  
 
Share  
Bibliographic References  
Add to:  
Digg Furl Spurl Blink Simpy Del.icio.us Y!MyWeb  
Search  
 
ASCII Text  x  
Jiuyong Li, "Robust RuleBased Prediction," IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 8, pp. 10431054, August, 2006.  
BibTex  x  
@article{ 10.1109/TKDE.2006.129, author = {Jiuyong Li}, title = {Robust RuleBased Prediction}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {18}, number = {8}, issn = {10414347}, year = {2006}, pages = {10431054}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2006.129}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Knowledge and Data Engineering TI  Robust RuleBased Prediction IS  8 SN  10414347 SP1043 EP1054 EPD  10431054 A1  Jiuyong Li, PY  2006 KW  Data mining KW  rule KW  classification KW  robustness. VL  18 JA  IEEE Transactions on Knowledge and Data Engineering ER   
[1] R. Agrawal and R. Srikant, “Fast Algorithms For Mining Association Rules In Large Databases,” Proc. 20th Int'l Conf. Very Large Databases, pp. 487499, 1994.
[2] E. Baralis and S. Chiusano, “Essential Classification Rule Sets,” ACM Trans. Database Systems, vol. 29, no. 4, pp. 635674, 2004.
[3] G.E.A.P.A. Batista and M.C. Monard, “An Analysis of Four Missing Data Treatment Methods for Supervised Learning,” Applied Artificial Intelligence, vol. 17, nos. 56, pp. 519533, 2003.
[4] E.K. C. Blake and C.J. Merz UCI Repository of Machine Learning Databases, http://www.ics.uci.edu/~mlearnMLRepository. html , 1998.
[5] L. Breiman, “Bagging Predictors,” Machine Learning, vol. 24, pp. 123140, 1996.
[6] P. Clark, and R. Boswell, “Rule Induction with CN2: Some Recent Improvements,” Machine LearningEWSL91, pp. 151163, 1991.
[7] P. Clark and T. Niblett, “The CN2 Induction Algorithm,” Machine Learning, vol. 3, no. 4, pp. 261283, 1989.
[8] W.W. Cohen, “Fast Effective Rule Induction,” Proc. 12th Int'l Conf. Machine Learning (ICML), pp. 115123, 1995.
[9] Y. Freund and R.E. Schapire, “Experiments with a New Boosting Algorithm,” Proc. Int'l Conf. Machine Learning, pp. 148156, 1996.
[10] Y. Freund and R.E. Schapire, “A DecisionTheoretic Generalization of OnLine Learning and an Application to Boosting,” J. Computer and System Sciences, vol. 55, no. 1, pp. 119139, 1997.
[11] J. Han, J. Pei, and Y. Yin, “Mining Frequent Patterns without Candidate Generation,” Proc. 2000 ACMSIGMOD Int'l Conf. Management of Data (SIGMOD '00), pp. 112, May 2000.
[12] J. Li, “On Optimal Rule Discovery,” IEEE Trans. Knowledge and Data Eng., vol. 18, no. 4, pp. 460471, 2006.
[13] J. Li, H. Shen, and R. Topor, “Mining the Optimal Class Association Rule Set,” KnowledgeBased System, vol. 15, no. 7, pp. 399405, 2002.
[14] J. Li, R. Topor, and H. Shen, “Construct Robust Rule Sets for Classification,” Proc. Eighth ACMKDD Int'l Conf. Knowledge Discovery and Data Mining, pp. 564569, 2002.
[15] W. Li, J. Han, and J. Pei, “CMAR: Accurate and Efficient Classification Based on Multiple ClassAssociation Rules,” Proc. 2001 IEEE Int'l Conf. Data Mining (ICDM '01), pp. 369376, 2001.
[16] B. Liu, W. Hsu, and Y. Ma, “Integrating Classification and Association Rule Mining,” Proc. Fourth Int'l Conf. Knowledge Discovery and Data Mining (KDD '98), pp. 2731, 1998.
[17] J. Mingers, “An Empirical Comparison of Selection Measures for Decision Tree Induction,” Machine Learning, vol. 3, pp. 319342, 1989.
[18] D. Pyle, Data Preparation for Data Mining. San Francisco: Morgan Kaufmann, 1999.
[19] J.R. Quinlan, “Induction of Decision Trees,” Machine Learning, vol. 1, no. 1, pp. 81106, 1986.
[20] J.R. Quinlan, C4.5: Programs for Machine Learning. San Mateo, Calif.: Morgan Kaufmann, 1993.
[21] P. Tan, V. Kumar, and J. Srivastava, “Selecting the Right Objective Measure for Association Analysis,” Information Systems, vol. 29, no. 4, pp. 293313, 2004.
[22] G.I. Webb and S. Zhang, “KOptimal Rule Discovery,” Data Mining and Knowledge Discovery J., vol. 10, no. 1, pp. 3979, 2005.
[23] X. Yin and J. Han, “CPAR: Classification Based on Predictive Association Rules,” Proc. 2003 SIAM Int'l Conf. Data Mining (SDM '03), 2003.
[24] M.J. Zaki, “Mining NonRedundant Association Rules,” Data Mining and Knowledge Discovery J., vol. 9, pp. 223248, 2004.