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主旨 碩博專題演講-Networked Data Analysis: Past, Present, and Future
公告日期 2018-06-04
公告內容

碩博專題演講公告

題 目:  Networked Data Analysis: Past, Present, and Future

主講者:李政德 助理教授
現  職:國立成功大學 數據科學研究所

The structures of online networks, such as Facebook and Twitter, are the essential social playgrounds where user interactions lead to the generation and diffusion of information. Social interactions and the dissemination of various information contents (e.g. news, opinions, and images) provide an unprecedented amount of data for researchers to investigate humanity and invent novel applications. In this talk, I will first review the studies of social network analysis and mining, and present recent advances on understanding, predicting and applying various types of real-world networks based on machine learning techniques. Potential topics that will be delivered include anomaly detection, team formation, user identification, diffusion prediction, sensor deployment, and foot traffic Inference. Last, I will briefly highlight the future research directions of social network mining.

 

時 間:107年06月07日(四)下午03:10

地 點:成功大學成功校區測量系一樓經緯廳

 

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最後修改時間 2018-06-04 10:20:54