Method and system for automated supervised data analysis

Details Method and system for automated supervised data analysis Method and system for automated supervised data analysis

2011-03-22

2011-03-22

Vo, Huyen X. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Multilingual or national language support

C704S009000, C704S257000

Reexamination Certificate

active

07912698

ABSTRACT:
The invention relates to a method for automatically analyzing data and constructing data classification models based on the data. In an embodiment of the method, the method includes selecting a best combination of methods from a plurality of classification, predictor selection, and data preparatory methods; and determining a best model that corresponds to one or more best parameters of the classification, predictor selection, and data preparatory methods for the data to be analyzed. The best model; and returning a small set of predictors sufficient for the classification task.

REFERENCES:
patent: 7309867 (2007-12-01), Costa et al.
patent: 2003/0195706 (2003-10-01), Korenberg
Aliferis, C.F. et al,HITON: A Novel Blanket Algorithm for Optimal Variable Selection, AMIA Symposium (2003).
Balmain, A., Gray, J. & Ponder, B.,The Genetics and Genomics of Cancer, Nat. Genet., 33 Suppl.:238-44 (Mar. 2003).
Dudoit, A. &. van der Laan, M.J.,Asymptotics of Cross-Validated Risk Estimation in Model Selection and Performance Assessment, U.C. Berkeley Division of Biostatistics Working Paper Series, Working Paper 126 (Feb. 5, 2003).
Golub, T.R. et al.,Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring, Science, 286(5439):531-7 (Oct. 15, 1999).
Ntzani, E.E. & Ioannidis, J.P.,Predictive Ability of DNA Microarrays for Cancer Outcomes and Correlates: An Emperical Assessment, Lancet, 362(9394):1439-44 (Nov. 1, 2003).
Ritthoff, O. et al.,Yale: Yet Another Machine Learning Environment, LLWA 01-Tagungsband der GI-Workshop-Woche Lernen—Lehren—Wissen—Adaptivitat, No. Nr. 763, pp. 84-92, Dortmund, Germany (2001).
Scheffer, T., Ph.D thesis,Error Estimation and Model Selection, Technischen Universitat Berlin, School of Computer Science (1999).
Tsmardinos, I. et al.,Time and Sample Efficient Discovery of Markov Blankets and Direct Casual Relations, Department of Biomedical Informatics, published in 2002.

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