Report 2.【2017.08.01；10.30am-11.30am】
Speaker: Zidong Wang
Title: Intelligent data analysis: big vs bad
Abstract: In this talk, we discuss another side of big data analysis, bad data analysis,
where the badness means the complexities resulting in the reproducibility issues.
Some background knowledge is first introduced on the volatility of the big data analysis,
which shows 1) “big” does not necessarily mean “better” and 2) the so-called multi-objective
data analysis (against badness) is vitally important in advancing the state-of-the-art.
Two examples are used for demonstration of the big data analysis, one for big data from
complex networks and the other for big data from gene expression image processing.
Finally, conclusions are drawn and some future directions are pointed out.
