This project, chaired by Prof. Gao Yunjun in CCST, was supported as the Excellent Youth Science project by NSFC in 2015. Miss/Incomplete data is ubiquitous in real life and scientific research. This project aims to study the problem of processing incomplete data efficiently and propose a suite of efficient theory and methods to tackle multi-source, heterogeneous, massive, high-dimensional and incomplete/uncertain data. Extensive theoretical analysis and experimental evaluation demonstrates the effectiveness and efficiency of our presented techniques, and based on which a prototype system is to be developed in order to manage and analyze incomplete data.
