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演讲嘉宾
Guest speaker

2019CCF海外杰出贡献奖获得者

美国伊利诺大学芝加哥分校(UIC)教授

ACM、IEEE Fellow

俞士纶
报告题目: Broad Learning: A New Perspective on Mining Big Data

演讲摘要:In the era of big data, there are abundant of data available across many different data sources in various formats. “Broad Learning” is a new type of learning task,

which focuses on fusing multiple large-scale information sources of diverse varieties together and carrying out synergistic data mining tasks across these fused

sources in one unified analytic. Great challenges exist on “Broad Learning” for the effective fusion of relevant knowledge across different data sources, which

depend upon not only the relatedness of these data sources, but also the target application problem. In this talk we examine how to fuse heterogeneous information

to improve mining effectiveness over various applications.


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