Rapid advance in sensor and information technology has resulted in both spatially and temporally data-rich environment, which creates a pressing need for us to develop novel statistical methods and the associated computational tools to extract intelligent knowledge and informative patterns from these massive datasets. The statistical challenges for addressing these massive datasets lay in their complex structures, such as high-dimensionality, hierarchy, multi-modality, heterogeneity and data uncertainty.
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- Partial requirement for: Ph.D., Arizona State University, 2012Note typethesis
- Includes bibliographical referencesNote typebibliography
- Field of study: Industrial engineering