Modeling and improvement of processes with heterogeneous sources of data

Heterogeneous data;Adaptive sampling;Functional regression;Tensor regression

Reisi Gahrooei, Mostafa ; Paynabar, Kamran Shi, Jianjun Industrial and Systems Engineering Gebraeel, Nagi Mei, Yajun Colosimo, Bianca Maria ; Paynabar, Kamran

University:Georgia Institute of Technology

Department:Industrial and Systems Engineering

关键词: Heterogeneous data;    Adaptive sampling;    Functional regression;    Tensor regression;   

Others  :  https://smartech.gatech.edu/bitstream/1853/61709/1/REISIGAHROOEI-DISSERTATION-2019.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

Integrating heterogeneous data in an effective manner to construct an efficient model of a system is the main theme of this thesis. Heterogeneity of data may refer to different levels of accuracy of data, different levels of information that process inputs (specifically functional inputs) may contain in explaining an output, or different forms of data. In this thesis, we will built upon the existing works and methods related to each of these classes of heterogeneity, and introduce methodologies to address existing challenges in practice.