本週邀請到台北大學 資訊工程學系 張玉山主任，前來進行中文演講。
Information Fusion on Big Data & It’s Applications
In the era of big data, there are increasingly data generated from various domains. Exploiting data analytics or mining approach for the data to obtain useful information or knowledge is more and more important. As well known, the big data has 5V properties, Volume, Variety, Velocity, Value and Veracity respectively. It is easy to tackle the faced problem of Volume and Velocity by using existing tools, such as hadoop file system and spark computing platform. But, the Variety and Veracity are not. In this talk, we first introduce the concept and technology of information fusion. And then exploit high-level information fusion technique to apply to multi-modal data, such as psychological and physiological data, in order to accurately obtain useful information. The approach is applied to the analysis of mood state. According to our experiments, it is shown that the approach can improve the accuracy of obtained information.