
This Article  
 
Share  
Bibliographic References  
Add to:  
Digg Furl Spurl Blink Simpy Del.icio.us Y!MyWeb  
Search  
 
ASCII Text  x  
Ruibin Xi, Nan Lin, Yixin Chen, "Compression and Aggregation for Logistic Regression Analysis in Data Cubes," IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 4, pp. 479492, April, 2009.  
BibTex  x  
@article{ 10.1109/TKDE.2008.186, author = {Ruibin Xi and Nan Lin and Yixin Chen}, title = {Compression and Aggregation for Logistic Regression Analysis in Data Cubes}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {21}, number = {4}, issn = {10414347}, year = {2009}, pages = {479492}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2008.186}, 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  Compression and Aggregation for Logistic Regression Analysis in Data Cubes IS  4 SN  10414347 SP479 EP492 EPD  479492 A1  Ruibin Xi, A1  Nan Lin, A1  Yixin Chen, PY  2009 KW  Data mining KW  Statistical databases VL  21 JA  IEEE Transactions on Knowledge and Data Engineering ER   
[1] A. Agresti, An Introduction to Categorical Data Analysis. Wiley, 1996.
[2] A. Agresti, Categorical Data Analysis, second ed. John Wiley & Sons, 2002.
[3] D. Barbara and X. Wu, “LoglinearBased Quasi Cubes,” J.Intelligent Information Systems, vol. 16, pp. 255276, 2001.
[4] C.R. Charig, D.R. Webb, S.R. Payne, and O.E. Wickham, “Comparison of Treatment of Renal Calculi by Operative Surgery, Percutaneous Nephrolithotomy, and Extracorporeal Shock Wave Lithotripsy,” British Medical J., vol. 292, pp. 882897, 1986.
[5] B. Chen, L. Chen, Y. Lin, and R. Ramakrishnan, “Prediction Cubes,” Proc. 31st Int'l Conf. Very Large Data Bases (VLDB '05), pp.982993, 2005.
[6] K. Chen, I. Hu, and Z. Ying, “Strong Consistency of Maximum QuasiLikelihood Estimators in Generalized Linear Models with Fixed and Adaptive Designs,” The Annals of Statistics, vol. 27, pp.11551163, 1999.
[7] Y. Chen, G. Dong, J. Han, J. Pei, B. Wah, and J. Wang, “Regression Cubes with Lossless Compression and Aggregation,” IEEE Trans. Knowledge and Data Eng., vol. 18, pp. 15851599, 2006.
[8] Y. Chen, G. Dong, J. Han, J. Pei, B.W. Wah, and J. Wang, “OLAPing Stream Data: Is It Feasible?” Proc. ACM SIGMOD '02 Workshop Research Issues in Data Mining and Knowledge Discovery, pp. 5358, 2002.
[9] Y. Chen, G. Dong, J. Han, B.W. Wah, and J. Wang, “MultiDimensional Regression Analysis of TimeSeries Data Streams,” Proc. 28th Int'l Conf. Very Large Data Bases (VLDB '02), pp. 323334, 2002.
[10] Y. Chow and H. Teicher, Probability Theory, second ed. Springer, 1988.
[11] L. Fahrmeir and H. Kaufmann, “Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in Generalized Linear Models,” The Annals of Statistics, vol. 13, pp. 342368, 1985.
[12] “Centers for Disease Control and Prevention,” Behavioral Risk Factor Surveillance System Survey Data. US Dept. of Health and Human Services, Centers for Disease Control and Prevention, 2006.
[13] J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart, M. Venkatrao, F. Pellow, and H. Pirahesh, “Data Cube: A Relational Aggregation Operator Generalizing Groupby, CrossTab and SubTotals,” Data Mining and Knowledge Discovery, vol. 1, pp. 2954, 1997.
[14] J. Han, Y. Chen, G. Dong, J. Pei, B.W. Wah, J. Wang, and Y. Cai, “Stream Cube: An Architecture for MultiDimensional Analysis of Data Streams,” Distributed and Parallel Databases, vol. 18, no. 2, pp.173197, 2005.
[15] V. Harinarayan, A. Rajaraman, and J.D. Ullman, “Implementing Data Cubes Efficiently,” Proc. ACM SIGMOD '96, pp. 205216, 1996.
[16] S.A. Julious and M.A. Mullee, “Confounding and Simpson's Paradox,” British Medical J., vol. 309, pp. 14801481, 1994.
[17] H. Lenz and B. Thalheim, “OLAP Databases and Aggregation Functions,” Proc. 13th Int'l Conf. Scientific and Statistical Database Management (SSDBM '01), pp. 91100, 2001.
[18] C. Liu, M. Zhang, M. Zheng, and Y. Chen, “StepbyStep Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube,” Proc. Seventh PacificAsia Conf. Knowledge Discovery and Data Mining (PAKDD '03), pp. 437448, 2003.
[19] P. McCullagh and J.A. Nelder, Generalized Linear Models, seconded. Chapman and Hall, 1989.
[20] T. Palpanas, N. Koudas, and A.O. Mendelzon, “Using Datacube Aggregates for Approximate Querying and Deviation Detection,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 11, pp. 14651477, Nov. 2005.
[21] S. Pang, S. Ozawa, and N. Kasabov, “Incremental Linear Discriminant Analysis for Classification of Data Streams,” IEEE Trans. Systems, Man, and Cybernetics, Part B, vol. 35, no. 5, pp.905914, 2005.
[22] G. Sathe and S. Sarawagi, “Intelligent Rollups in Multidimensional OLAP Data,” Proc. 27th Int'l Conf. Very Large Data Bases (VLDB '01), pp. 531540, 2001.
[23] P. Vassiliadis, “Modeling Multidimensional Databases, Cubes and Cube Operations,” Proc. 10th Int'l Conf. Scientific and Statistical Database Management (SSDBM '98), pp. 5362, 1998.