报告人：Prof. Jun (Luke) Huan （浣军 教授）
    Department of Electrical Engineering and Computer Science, University of Kansas

讲座题目：Practical Large-scale Predictive Analytics

 
地点：前沿院西一楼 A306，曲江校区

 
时间：2015年10月19日（星期一），上午10:00

 
简介：
浣军教授，美国堪萨斯大学（University of Kansas）电子工程和计算机系正教授、博士生导师。浣军教授长期从事数据挖掘（data mining）和机器学习（machine learning）的理论、算法和应用的研究，研究领域涉及大数据，生物信息学、药物基因组学等。现担任堪萨斯大学数据科学中心（筹）主任， 生物信息学和计算生命科学实验室主任， 国家分子探针研究中心化学信息学部主任等职。

 
摘要：
Predictive analytics aims to extract information from existing data sets and combine the information with previous experience in order to predict future outcomes and trends. Large-scale predictive analytics is a corner stone of Big Data analytics and plays an essential role in enabling actions based on large-scale data. In this talk, Dr. Huan plans to cover a set of selected topics in large-scale predictive analytics, including but not limited to multi-task learning, multi-view learning, sparse learning, and multi-label learning. Successful cases studies in health, social sciences, biomedical research will be covered as well.