Intelligent sampling for big data using bootstrap sampling and chebyshev inequality

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2014, Pages

  Satyanarayana, Ashwin ^a  

^a NEW YORK CITY COLLEGE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LARGE DATASET;

ADAPTIVE SAMPLING; BOOTSTRAP SAMPLINGS; CHEBYSHEV INEQUALITIES; COMPUTER TECHNOLOGY; DATA MINING ALGORITHM; INTELLIGENT SAMPLINGS; REAL-WORLD PROBLEM; RESEARCH QUESTIONS;

DATA MINING;

EID: 84908425619     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2014.6901029     Document Type: Conference Paper

References (14)

1. Vladimir N Vapnik: Statistical Learning Theory. John Wiley & Sons. New York, NY (1998)
2. Valiant, L.G. 1984. A theory of the Learnable Communications of the ACM 27(11), 1134-1142 (1984)
3. Tryfos, P. Sampling Methods for Applied Research: Text and Cases, John Wiley & Sons, Inc (1996)
4. Haussler, D., Kearns, M., Seung, H.S., Tishby, N.: Rigorous Learning Curve Bounds from Statistical Mechanics. In: Proc. 7th ACM Workshop on Compo Learning Theory (1994)
5. John, G., Langley, P.: Static versus dynamic sampling for data mining. In: Proc. of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 367-370 (1996)
6. Meek, C., Theisson, B., Heckerrnan, D.: The learning-curve sampling method applied to model- based clustering. The Journal of Machine Learning Research (2002)
7. Provost, F., Jensen, D., Oates, T.: Efficient progressive sampling. In: Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, pp. 23-32 (1999)
8. Satyanarayana. A, Davidson. T.: A Dynamic Adaptive Sampling Algorithm (DASA) for Real world App,lications: Finger Print Recognition and Face Recognition. In Proc.15" ISMIS 2005,pp631-640
9. Satyanarayana. A, Intellingent Sampling and Filtering. In Proc of 21" AAAI conference (AAAI 2006), Doctoral Consortium,Boston, MA
10. Nuchitprasittichai, Aroonsri, and Selen Cremaschi. "An algorithm to determine sample sizes for optimization with artificial neural networks." AlChEJ ournal( 2012).
11. Dhabak, Dipankar, and Soumya Pandit. "Adaptive sampling algorithm for ANN-based performance modeling of nano-scale CMOS inverter." World A cad Sci Eng Technol80 (2011): 812-818.
12. Mallows, C. L., and Donald Richter. "Inequalities of Chebyshev type involving conditional expectations." The Annals oj Mathematical Statistics 40.6 (1969): 1922-1932.
13. Chernoff, H.: A measure of asymptotic efficiency for tests of a hypothesis based on the sums of observations. Annals of Mathematical Statistics 23, 493-507 (1952)
14. Davidson, T.: An Ensemble Approach for Stable Learners. The National Conference on AI. (AAAI), San Jose (2004).